brandsystem-mcp

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

No annotations are provided, so the description carries full burden. It discloses that this is a mutation tool ('Update'), describes the status options and their meanings, and mentions an optional note. However, it lacks details on permissions, side effects, error handling, or response format, which are important for a mutation tool with no annotation coverage.

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 front-loaded with the core purpose, followed by status explanations and note details in a single, efficient sentence. Every part earns its place with no redundant or vague language, making it easy to parse quickly.

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 mutation tool with no annotations and no output schema, the description covers the basic purpose and parameters well. However, it lacks information on behavioral aspects like authentication needs, rate limits, or what the tool returns, which are important for completeness given the tool's complexity and lack of structured data.

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 schema already documents parameters well. The description adds value by explaining the semantics of status options ('acknowledged', 'fixed', 'wontfix') with brief definitions, and clarifies that the note is 'optional' and for 'explaining the decision', which enhances understanding beyond the schema's technical descriptions.

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 the verb ('Update') and resource ('status of a feedback item after review'), with specific status options enumerated. It distinguishes from sibling tools like 'brand_feedback' (likely for submitting feedback) and 'brand_feedback_review' (likely for reviewing feedback) by focusing on post-review status updates.

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 description implies usage context ('after review') and provides clear status definitions, but does not explicitly state when to use this tool versus alternatives like 'brand_feedback_review' or other feedback-related tools. It offers guidance on what each status means, which helps in decision-making, but lacks explicit exclusions or named alternatives.

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