Skip to main content
Glama

verify_tool_call_audit_log

Read-onlyIdempotent

Validate MCP tool-call audit log integrity by verifying its JSONL hash chain from a configured or explicit local path.

Instructions

Verify the durable MCP tool-call audit JSONL hash chain from the configured audit log path or an explicit local path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audit_log_pathNoOptional durable MCP audit JSONL path to verify. Defaults to AOP_MCP_AUDIT_LOG_PATH when configured.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
chainYes
existsYes
warningsYes
configuredYes
using_configured_pathYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.10.0

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the agent knows this is a safe, repeatable read operation on local data. The description adds that it operates on a 'durable' hash chain and mentions the default path source, which is useful context, but doesn't describe what verification returns (e.g., pass/fail, tamper detection details) or error behavior. The baseline is lower because annotations carry the safety profile, and the description adds some but not rich behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence that states the action, the target, and the path options. No waste, no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained. The annotations cover safety and idempotency. However, with no usage guidance and minimal behavioral context beyond what structured fields provide, the description is adequate but leaves gaps for an agent deciding when and why to invoke verification. For a tool with a single optional parameter and full schema coverage, this is minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents the single parameter including its default behavior. The description mentions 'the configured audit log path or an explicit local path,' which reinforces the parameter's purpose without adding schema-level details. With one well-documented parameter, this is appropriately covered.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (Verify) and a specific resource (the durable MCP tool-call audit JSONL hash chain). It's clear and unambiguous. It doesn't explicitly distinguish itself from siblings like list_tool_call_audit_records or export_tool_call_audit_log_evidence, but 'verify' + 'hash chain' is a distinct operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. Is verification expected before export? Is it part of a compliance workflow? The description offers no when-to-use or prerequisite information. It leaves the agent to infer usage entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.