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wshobson

MaverickMCP

get_decision_log

Query the agent decision audit trail to retrieve records of query classifications, agent routing, token usage, cost estimates, and outcomes.

Instructions

Query the agent decision audit trail.

Returns recent decision records showing query classifications, agent routing, token usage, cost estimates, and outcomes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idNoOptional session ID to filter by. If omitted, returns the most recent decisions across all sessions.
limitNoMaximum number of records to return (default 20, max 100).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It only states it queries the audit trail and returns records, but does not mention if it is read-only, any rate limits, or potential side effects.

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

Conciseness4/5

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

Two sentences, clearly front-loaded with action and return data. No superfluous text, though could be more structured with usage hints.

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?

Given that an output schema exists and only two optional parameters, the description covers the basic behavior. However, it lacks usage guidelines and behavioral transparency, making it incomplete for fully informed invocation.

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

Parameters3/5

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

Schema coverage is 100%, so the input schema already documents both parameters. The description adds a summary of return values but does not provide additional semantic meaning beyond what the schema descriptions convey.

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

Purpose5/5

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

The description clearly states the tool queries the agent decision audit trail and lists specific return fields (query classifications, agent routing, token usage, cost estimates, outcomes). It is a specific verb+resource with no ambiguous sibling overlap.

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?

No explicit guidance on when to use this tool versus alternatives. The description does not mention exclusions, prerequisites, or comparison to sibling tools like get_health_history or get_resource_usage.

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

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