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

There are no annotations, so the description carries full behavioral disclosure burden. It reveals that the calculation is preliminary and free, but does not disclose output format, whether external fee lookups occur, or any operational limitations.

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 short and front-loaded, but 'Price: free' is redundant with 'Free' in the first sentence. It is minimal, not wasteful, but the repetition uses space that could clarify behavior or inputs.

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 eight parameters and no output schema, the description is too thin. It does not explain the optional fee/fulfillment/ad-cost inputs, currency handling, payment signature requirements, or what exactly the returned profit and margin estimate contains.

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 0%, and the description does not compensate by explaining parameters. Landed cost and expected sale price are implied by 'profit and margin estimate', but optional fields like paymentSignature, referralCode, and the fee-related inputs are left entirely unexplained.

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 identifies the tool's function: estimating profit and margin for GCC products. 'Free preliminary' positions it as a low-cost screening tool and distinguishes it from sibling services like gcc_opportunity_score or quote, though it doesn't explicitly name alternatives.

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?

No guidance is given on when to use this tool versus siblings such as gf.quote or gf.gcc_opportunity_score. 'Free preliminary' hints at use case but does not explain context, prerequisites, or selection criteria.

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