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

With no annotations provided, the description carries the behavioral disclosure burden. It clearly discloses that URLs are not fetched, that the call is pay-per-call at $0.04 USDC on Base via x402, and that a missing payment-signature header produces an error carrying payment terms. It does not detail success response format, but the disclosed constraints are substantial and useful.

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 concise and front-loaded: the core purpose comes first, followed by usage guidance, alternatives, and caveats. Every sentence earns its place, covering purpose, when to use, what not to use, input format, and payment behavior without padding.

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 two optional parameters and no output schema, the description covers the essential invocation details: what input to provide, that URLs are not allowed, the payment requirement, and the error behavior. It does not describe the success response format, but for a summarization tool a textual summary is reasonably inferable.

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 baseline is 3. The description adds minor value by reinforcing that text must be pasted and that URLs are not fetched, and it echoes the schema's distinction between query text and optional context, but it does not meaningfully extend beyond what the schema already documents.

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 uses a specific verb ('Condense') with a clear resource ('a document or article') and names the expected output content: main argument, key findings, and supporting evidence. It also names sibling tools like analyze-document, thread-from-article, and repurpose-long-form, so the agent can immediately distinguish this tool from 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?

It explicitly states when to use the tool ('when you need a faithful digest with no opinion added') and directly routes to alternatives for judgment tasks and social post generation. It also gives a crucial usage constraint: URLs are not fetched, so the text must be pasted.

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