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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds real behavioral context beyond that: derivation rules (strengths/gaps fall back to wins/losses 'in your own words'), routing of competitor details and objections, and inference behavior for omitted optional fields. It does not disclose limits such as a maximum competitor count or latency.

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 sentences, front-loaded with the output ('one battle card per competitor') before the routing details. The second sentence is dense and slightly run-on, but every clause carries information rather than filler.

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 11 parameters but full schema coverage and annotations covering the safety profile, the description's remaining job is to convey the return shape, which it does explicitly (one battle card per competitor containing strengths, weaknesses, competitor details, objection answers, wins/losses). Nothing an agent needs to invoke it correctly is missing.

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%, so the baseline is 3. The description goes further by explaining cross-parameter behavior the schema does not: each competitor detail is routed to the competitor it names, each objection gets its own answer, and strengths/weaknesses default from wins/losses in the user's own words.

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 uses a specific verb ('returns') and a concrete resource ('one battle card per competitor'), and enumerates the inputs that feed it (strengths, weaknesses, competitor details, objections, wins, losses). It is clear what the tool produces, though it never contrasts itself with sibling GTM tools like craft_gtm_analyzer or pmf_scorecard.

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?

Usage is only implied: the agent can infer you call this when you need competitive battle cards, and the schema's required/optional split signals which inputs matter. There is no explicit when-to-use, when-not-to-use, or named alternative among the sibling tools.

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