Diff Report

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

With no annotations, the description carries the full burden, and it does disclose real behavioral traits: determinism ('Deterministic change ledger') and trust-independence ('without trusting the model's own account'). However, it says nothing about whether this is read-only, whether it recomputes or reads stored state, or any cost/limits.

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

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

Two short, front-loaded sentences that waste little space. Some phrasing is conceptual ('change ledger', 'trusting the model's own account') rather than operational, but it is not verbose.

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

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, and the tool itself is simple. The remaining gap is the absence of any parameter or behavioral grounding for a tool with zero annotation and zero schema-description coverage, leaving the definition adequate but not fully self-sufficient.

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

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

Schema description coverage is 0%, so the schema documents nothing about before_text or after_text, and the description does not compensate by explaining what these inputs are or how they should be supplied. Names are self-evident, but the description adds no meaning beyond them.

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

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

The description makes clear this produces a word-level diff between two texts ('Word-level diff with context', 'every span the pipeline changed'). The verb 'produce a diff' is implied rather than stated outright, and it never explicitly ties itself to the before_text/after_text inputs, but combined with the name and title the function is unambiguous.

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

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

It hints at a use case ('Lets any human audit exactly what the system did to the text') but gives no explicit when-to-use condition and does not distinguish itself from related siblings like verify_regression or mechanical_pass. An agent must infer when to reach for this tool.

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