resolve_biological_entity_safe

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 does disclose two behavioral traits: fault tolerance and circuit breaker behavior, which signal that the tool is designed to handle failures gracefully. However, it lacks specifics on what happens upon failure (e.g., returns null, throws, or falls back), and it does not describe the return format or any side effects. The disclosure is present but minimal.

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, front-loaded sentence that immediately states the tool's nature and purpose. It is concise and easy to parse, with no wasted words. It earns a high score for brevity, though it sacrifices some detail that could have been included without becoming verbose.

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?

Given the absence of annotations and an output schema, the description should provide more context about expected inputs, outputs, and failure behavior. The tool has a simple schema, but the description is too terse to be self-sufficient. It does not explain what 'safe' means in practice, nor what the user should expect as a return value. This leaves significant gaps for an agent trying to invoke the tool correctly.

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?

The schema coverage is 0%, so the description must compensate. It indirectly explains target_database by naming ChEBI and PubChem, which aligns with the enum values. For compound_name, the phrase 'compound resolution' implies it is the compound to be resolved. This adds some semantic context beyond the raw schema, but the description does not explicitly name or explain either parameter, leaving ambiguity about input formats or acceptable values.

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 as a query for compound resolution against ChEBI or PubChem, using the specific verb 'query' and naming the target resources. It distinguishes itself from sibling tools, which are all about assay calculations and statistics, by focusing on biological entity resolution. However, it could be more explicit about what 'resolution' entails (e.g., mapping names to IDs), so it is not a full 5.

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 provides no explicit guidance on when to use this tool versus alternatives. It mentions 'Fault-tolerant Circuit Breaker' in the description, which hints at use cases requiring resilience, but it does not state clear conditions, prerequisites, or exclusions. Sibling tools are thematically unrelated, but no alternatives or counter-indications are given.

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