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

With no annotations, the description carries the full behavioral burden. It does disclose the filtering behavior (quotes must appear in both the answer and the company page) and a detection behavior (flag cited pages with wrong figures), which is genuinely useful. However it says nothing about what is returned, whether anything is mutated, or how failures/empty results are surfaced.

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 tight sentences with no filler, and the primary keep/filter behavior is stated before the secondary page-flagging behavior. Slightly dense phrasing ('differences whose quotes are really in...') costs a point but nothing is wasted.

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?

For a 4-parameter verification tool with no annotations and no output schema, the description is too thin: it never explains the shape of the filtered result, what happens to rejected differences, or how the returned page list should be consumed. The agent can guess the intent but not the contract.

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 75%, so the schema documents pages, answer, and judgement already; only 'site' is bare. The description hints at the role of answer ('quotes in your answer') and pages ('the company's page') but adds no format, syntax, or validation detail beyond the schema. Baseline 3 is appropriate.

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 names concrete operations (keep only differences with verified quotes, find cited pages carrying a wrong figure) and a distinct resource, so the agent can separate it from company_statements and buyer_questions. It loses a point because the key noun 'differences' is undefined domain jargon that only becomes clear after reading the schema.

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?

'Call once per answer' gives a call-frequency constraint but no when-to-use versus the siblings, no prerequisite ordering (e.g., that it should run after company_statements/buyer_questions), and no when-not guidance. The agent is left to infer the workflow position entirely.

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