AgentOps: diagnose MCP tool shadowing before a production action
A production runbook for detecting MCP tool collisions, proving which tool the agent actually selected and validating a canary catalog before any sensitive action.
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Tag
mcp
22 articles connected to this technical signal.
AgentOps: neutralize indirect prompt injection in MCP tool output before a production action
A production runbook for isolating hostile instructions carried by MCP tool output, preserving provenance, enforcing policy outside the model, and validating or rolling back write access.
Read articleAgentOps: prevent MCP token forwarding before production actions
A production runbook for proving token audience, delegation, scopes and runtime identity across an MCP tool chain before restoring state-changing actions.
Read articleMCP Roots is deprecated: migrate file scope without expanding access
A production runbook for replacing MCP Roots with tool parameters, resource URIs or server configuration while preserving path controls, canary evidence and rollback.
Read articleAgentOps: revalidate a stale approval before resuming a production action
A production runbook for detecting and revalidating stale human approval across state drift, request fingerprints, expiry, traces, refusal tests and rollback before an AI agent resumes an action.
Read articleMicrosoft Foundry Toolbox: validate a version before promoting it to agents
A production runbook to test a Toolbox version, its MCP tools, identities, approvals and traces before promotion, then return to the previous version without redeploying agents.
Read articleAgentOps: bound MCP tool timeouts, retries and circuit breakers before production
A production runbook for defining latency budgets, idempotency, retries, circuit breakers, traces and rollback for an MCP tool called by an AI agent.
Read articleAgentOps: validate tool output before a production write
A production runbook for qualifying structured AI agent tool output with schema, sources, diff, idempotence, policy, traces, human validation and rollback before writing to production.
Read articleAgentOps: diagnose permission drift before widening an agent's rights
A production runbook for qualifying AI agent permission drift with the real identity, RBAC, tool scopes, traces, expected denials, human validation and rollback before widening access.
Read articleAgentOps: validate the Foundry automation handoff before a production action
A production runbook for qualifying the handoff from a Microsoft Foundry agent to Azure Automation, AWX, Azure DevOps or an MCP tool with contract, identity, traces, dry run, human validation and rollback.
Read articleAgentOps: diagnose MCP server drift before a production action
A production runbook for qualifying MCP server drift with tool manifests, schemas, identity, secrets, network path, traces, evaluations, validation and rollback before reauthorizing an AI agent.
Read articleAgentOps: scope an internal MCP server before exposing it to an agent
A production runbook for qualifying an internal MCP server with tool inventory, scopes, identities, secrets, audit, dry runs, evaluations, human validation and rollback before agent access.
Read articleAgentOps: diagnose a failed tool call before retrying a production action
A production runbook for qualifying a failed AI agent tool call with trace evidence, idempotence, identity, backend state, approvals, validation and rollback before retrying.
Read articleAgentOps: validate agent memory before production actions
A production runbook for qualifying AI agent memory with sources, traces, aging, permissions, evaluations, guardrails, human validation and rollback before it influences real actions.
Read articleAgentOps: diagnose prompt injection in retrieval before production actions
A production runbook for qualifying suspected prompt injection in an AI agent retrieval corpus with sources, traces, evaluation, tools, guardrails, validation and rollback.
Read articleAgentOps: validate an approval policy before production actions
A production runbook for qualifying an agent approval policy change with action scope, identity, traces, evaluation cases, guardrails, human validation and rollback.
Read articleAgentOps: rotate an agent runtime identity before tool access fails
A production runbook for rotating or revoking an AI agent runtime identity with scoped permissions, dry-run tool calls, traces, approvals, validation and rollback before breaking production actions.
Read articleAgentOps: validate an agent tool before it can change production
A production runbook for qualifying a new AI agent tool with contract review, scoped identity, dry run, traces, approvals, evaluation cases and rollback before enabling real actions.
Read articleAzure DevOps MCP: scope an agent before letting it act on the project
A production runbook for exposing Azure DevOps to an AI agent through MCP with project scope, permissions, allowed actions, evidence, logs, human validation and rollback.
Read articleAgentOps: diagnose agent contract drift before redeployment
A production runbook for qualifying AI agent contract drift with prompts, tool manifests, sources, evaluations, traces, human validation and rollback.
Read articleAgentOps: expose MCP tools without losing control of production actions
A production runbook for exposing MCP tools to an AI agent while keeping action scope, approvals, identities, logs, evaluation and rollback under control.
Read articleAgentOps: diagnose an AI agent that calls the wrong tool
A production runbook for qualifying an AI agent that selects the wrong tool, acts without evidence or hides an action behind a plausible answer.
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