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

Annotations declare readOnlyHint=true and openWorldHint=true, so the tool is known to be non-mutating. The description adds that it returns an 'audited deliverable' and that inputs are 'validated server-side,' which is useful context. However, it does not disclose async behavior, pagination, or detailed return structure, beyond what is already implied by annotations.

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?

The description is relatively concise and front-loaded with the tool's purpose and key questions. The bullet-style questions and reference case add practical value. The opening phrase 'Gapup agent-payable C-suite expertise (CMO)' is slightly promotional and could be trimmed, but overall every meaningful sentence earns its place.

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 tool with nested input objects and no output schema, the description defines the high-level deliverable and the strategic questions it answers. However, it leaves the 'focus' and 'async' parameters underspecified and does not describe the exact input format for competitors/selfCompany beyond vague 'documented case fields.' It is adequate for selection but not fully complete for reliable invocation.

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 only 25% (only 'async' has a description). The description mentions 'Given my competitors' and 'documented case fields,' giving a hint about competitors and selfCompany, but does not clarify the 'focus' parameter or the expected structure of competitor/self objects. It does not compensate for the low schema coverage.

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 clearly states that the tool produces competitive recommendations, answering 'what strategic actions should I take and in what order?' and provides a 7/30/90/180-day response plan. It includes a concrete reference case (Notion vs ClickUp, Asana, Coda), which distinguishes it from sibling intelligence tools. The verb 'Returns a structured, audited deliverable' is specific and resource-focused.

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?

The questions in the description imply when to use the tool: when a user needs a prioritized competitive action plan or a phased response roadmap. However, it does not explicitly state when not to use it or mention alternative sibling tools like battle_plan or competitive_deep_dive. Usage guidance is present only by implication, not explicit differentiation.

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