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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds useful context that the output includes an input completeness score, implying partial input is tolerated, but says nothing about cost, latency, or how incomplete inputs affect the audit quality.

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?

A single front-loaded sentence with no filler; the outcome (score + recommendations) is stated up front. It is efficient, though arguably too terse for a ten-parameter tool.

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 10-parameter tool with no output schema and no annotation coverage of returns, the description is thin: it never says what the audit actually evaluates, how the completeness score is computed, or what the recommendations cover. The only substantive information is one clause about outputs.

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 enum parameters (your_sector, business_model) are thoroughly documented in the schema itself, so the baseline of 3 applies. The description adds no parameter-level detail beyond what the schema already provides.

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 states a specific verb and resource ('positioning audit') and even names its outputs ('input completeness score and recommendations'), so an agent knows what it produces. However, it never differentiates itself from siblings like impact_pinpoint_value, impact_anchor_market, or impact_craft_message, leaving the agent to guess which of the eight impact_* tools to pick.

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?

There is no when-to-use guidance, no prerequisites, and no mention of any alternative. With seven sibling tools covering adjacent positioning tasks, the absence of routing information ('use this for a full audit vs. pinpoint_value for a single dimension') is a real gap.

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