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

With no annotations, the description carries the full burden. It adds useful behavioral context: the data is live, AI-vetted, open, and sourced from a 7-portal database across specific jurisdictions. However, it omits read-only status, authentication needs, rate limits, and return format details.

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 definition is a single sentence with the core purpose front-loaded. The 'API #04:' prefix adds little value, and the parenthetical enumerations are dense, but the description remains appropriately sized and readable.

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 a simple 4-parameter retrieval tool with no annotations and no output schema, the description covers the data domain and sources adequately. It does not explain return values, authentication, or usage context, leaving some gaps for an agent invoking it without structured metadata.

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 schema already documents all four optional parameters (limit, state, keyword, category). The description adds no parameter-level meaning beyond the schema, which is the baseline expectation when schema coverage is complete.

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 ('Stream') and resource ('live, AI-vetted open Federal ... and State/Local ... IT, Cloud, and Cybersecurity RFPs'), making the tool's function clear. It implies a distinction from historical award search, but does not explicitly name a sibling tool to route against.

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?

No explicit when-to-use, when-not-to-use, or alternative-tool guidance is provided. The live/open framing implies retrieval of current opportunities, but the agent is left to infer when to call this versus search_historical_awards or other siblings.

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