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verify_brain

Read-onlyIdempotent

Machine-check a cognition claim: recompute the brain from the submitted content and compare against the claimed brain_id and/or content_hash. valid=true iff every claimed identifier matches the deterministic recomputation (VB3).

Input Schema

NameRequiredDescriptionDefault
formatNoauto
contentYes
brain_idNo
content_hashNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, closed-world, non-destructive behavior. The description adds meaningful behavioral detail beyond that: it is deterministic, it recomputes the brain from content, and it defines valid=true as every claimed identifier matching the recomputation.

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?

The description is compact and front-loads the core operation before the validity rule. The unexplained 'VB3' reference is a minor distraction, but the text is otherwise efficient.

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-value explanation is not required. However, for a verification tool with four parameters and zero schema coverage, the description should clarify the format parameter and what happens when neither brain_id nor content_hash is provided; it does not.

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 description coverage is 0%, so the description must carry parameter meaning. It adds useful context for content, brain_id, and content_hash ('and/or' indicates optional comparison targets), but it never mentions the format parameter or its accepted/default behavior, leaving one of four parameters undocumented.

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 names a specific action (machine-check a cognition claim), the resource (brain), and the core operation (recompute from submitted content and compare claimed identifiers). It is clearly distinct from build_brain in intent, though it does not explicitly name the sibling tool.

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

Usage Guidelines3/5

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

It implies usage when there is a claimed brain_id or content_hash to verify against submitted content, but it does not explicitly say when to use this instead of build_brain or what to do when no identifiers are supplied. The 'and/or' phrasing leaves the required claim context somewhat open.

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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