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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'bounded public web context' and the $0.10/call cost, which is useful, but it does not disclose whether the tool performs live web fetches, whether results are cached, what happens on rate limits, or whether any parameters are required despite none being marked required. The 'bounded' qualifier hints at constraints but is vague.

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 a single sentence that front-loads the core purpose and includes the cost detail. It is concise and readable, though the phrase 'bounded public web context' is slightly jargon-heavy and could be clearer.

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 4 parameters, 0% schema coverage, no annotations, and no output schema, the description is too thin. An agent cannot determine which parameters to supply for a given metric request, what the output shape will be, or what constraints apply. The cost and 'bounded' context are helpful but do not make the tool safely callable.

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%, so the description must compensate for the four undocumented parameters. It does not explain how chain, symbol, project, or token_address map to the metric categories, nor does it clarify which parameters are needed for which use cases. The description adds no parameter-level meaning beyond the schema's bare names.

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 ('Compose') and resource ('public DeFi market metrics') and enumerates the metric categories (protocols, chains, DEX volume, fees, yields). It is clear what the tool does, though it does not explicitly distinguish itself from sibling tools like token_metrics or crypto_price, which could overlap in the DeFi/crypto space.

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 gives no explicit guidance on when to use this tool versus alternatives. It mentions 'bounded public web context' and a price, but does not state when an agent should prefer market_intel over token_metrics, crypto_price, or trading_signals. The usage context is only implied by the metric categories listed.

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