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

Annotations already cover readOnly/idempotent/openWorld/destructive, yet the description adds real context beyond them: it reads each token's recent recipients, defines the three output classes (independent / overlapping / strongly_linked), and discloses pricing ($0.05 x402 on Base), the prepaid x-credit-token header, the 1-free-call-per-day quota, and no-API-key requirement. That is substantial behavioral disclosure layered on top of structured hints.

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 core signal explanation is front-loaded and valuable, but the opening is two near-duplicate question sentences and the closing repeats 'Required inputs: a, b' after 'Pass a= and b=', with boilerplate like 'Not financial advice'. It is functional but noticeably padded.

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 an output schema present, return-value detail is not needed, and the description covers the signal semantics, interpretation caveat, pricing, auth, and quotas. The only gap is explicit when-to-use guidance against siblings, so it is nearly complete rather than fully complete.

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 coverage is 100%, so the schema already documents both parameters ('Token A'/'Token B'). The description only restates them ('Pass a= and b=', 'Required inputs: a, b') without adding format or semantics (e.g., address vs symbol). Baseline 3 applies.

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 comparison (do two tokens share recent holders) and frames it as a named coordinated-network signal, which no sibling tool covers (holder_forensics and holders look at a single token). An agent can distinguish this from adjacent token-analysis tools without reading the schema.

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 implies usage ('the farm / sybil / coordinated-launch signal') and warns 'a signal, not proof', but never states when to pick this over siblings like holder_forensics, token_compare, or address_intel, nor any exclusion conditions. Usage is inferable but not explicit.

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