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

Annotations already declare readOnly, idempotent, non-destructive and open-world behavior, so the safety profile is covered. The description adds useful non-schema context: results are 'first-hand fixes ... dated and with proof (the transaction, block or test behind each)', returned 'in full, as text', and the service is free. It does not mention rate limits or response size, which keeps it just short of a 5.

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?

Front-loaded with the core purpose and use case, and every listed error token serves retrieval matching. It is a dense single paragraph, slightly long, but there is no filler — the fallback and return-format sentences each earn their place.

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 no output schema, the description carries the return-value burden and does so ('Returns the matching entries in full, as text'). It also closes the loop on failure with the fallback path, so an agent has everything needed to invoke and handle the result.

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 baseline is 3. The description still adds value by instructing 'Pass the error as it reads', clarifying that the input should be the verbatim error string rather than a normalized code.

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?

States a specific verb ('Look up') and resource ('Brain Board library' of error fixes for BNB Chain agents, bots and dApps), and distinguishes itself from the sibling that handles unanswered questions (plaza_board_post). An agent can tell exactly what this tool retrieves without opening 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?

Explicitly says to use it 'before debugging alone' and enumerates concrete trigger conditions (revert with no reason, 'Pancake: K', 'STF', 'EIP3009: invalid signature', Venus math error, x402 rejection, etc.). It also names the fallback path — plaza_board_post (type question) or the /ask endpoint — when nothing fits.

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