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

With no annotations, the description carries the burden and does useful work: it states the response shape (quote, page, date), that it answers 'we hold none' rather than an empty list, and that outcome values like contradicted/contradiction/absent record a reading rather than a published figure. That is meaningful behavioral context about returns. It leaves permissions/rate behavior unstated, which is a minor gap.

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?

Three sentences that front-load the resource, but the `outcome` sentence is jargon-heavy ('load-bearing') and refers to a field that appears in neither the schema nor any output schema, which costs the reader. The core content is efficient; the middle sentence muddies it.

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?

With no output schema and no annotations, the description needs to convey what comes back and does — quote, page, read date, and explicit 'we hold none'. The only real hole is the undefined `outcome` values, which an agent cannot resolve from any structured field.

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 100%, and the schema already explains both slug and field including the 'omit for every field' behavior. The description adds nothing about either parameter, so the baseline of 3 applies; its mention of `outcome` is a return concept, not an input.

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?

Names the specific resource returned — the verbatim quote, page, and read date behind a figure — so the agent knows this is an evidence/provenance lookup, not a figure lookup. It explicitly distinguishes itself from get_firm for the published figure. It's clear, though it never states the operation in a plain 'retrieves X for Y' form.

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?

Points to the alternative ('Use get_firm for the published figure'), giving a real when-to-use condition. It does not spell out explicitly when not to call it or what happens for an unheld field beyond the empty-list note, so it stops short of full routing guidance.

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