Watch an award
watch_awardWatch a selected public award for material changes and activity.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| enabled | No | ||
| award_id | Yes | ||
| alert_cadence | No | daily | |
| delivery_channels | No |
watch_awardWatch a selected public award for material changes and activity.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| enabled | No | ||
| award_id | Yes | ||
| alert_cadence | No | daily | |
| delivery_channels | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate idempotent and non-destructive, which the description does not contradict. The description adds the detail that the watch is for 'material changes and activity', giving some context. However, it does not describe the mechanics of watching (e.g., setting up alerts, permissions required, or lifecycle of a watch).
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, focused sentence that directly states the tool's purpose with no filler. It is front-loaded and efficient, earning its place despite its brevity.
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 5 parameters and no output schema, the description is too sparse. It fails to explain what the tool returns, how the parameters control behavior, or when it should be used versus alternatives. Given the tool's complexity, it is incomplete for reliable selection and invocation.
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 includes 5 parameters (name, enabled, award_id, alert_cadence, delivery_channels) with 0% description coverage. The description does not explain any of these parameters, leaving the agent to infer from names alone. Since schema coverage is zero, the description should compensate but does not.
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 states the verb 'Watch' applied to 'a selected public award for material changes and activity'. This distinguishes it from sibling tools like get_award (read) and track_opportunity (broader). It is specific about the resource and scope.
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 implies the tool is used to monitor an award, but it does not provide explicit when-to-use guidance or differentiate from similar monitoring tools like track_opportunity or watch_vendor. No exclusions or alternatives are mentioned. The context 'selected public award' hints at a prerequisite but is not elaborated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clear boundaries (e.g., get_award vs search_awards, get_business_profile vs get_vendor). Some overlap exists in pairs like find_recompetes/find_recompetes_for_business and search_opportunities/search_opportunities_for_business, though the latter are differentiated by profile context.
All tools follow a consistent verb_noun snake_case pattern (get_, search_, update_, watch_, save_, etc.) with no stylistic deviations. Naming is highly predictable across the entire set.
At 39 tools, the surface is excessively large. While the domain is broad, many tools could be combined or parameterized (e.g., get_business_awards and get_vendor_awards, multiple search variants). This creates overhead for agents and dilutes focus.
The tool set covers the core lifecycle: opportunity/award searching and retrieval, business profile updates, saved searches, watches, exclusions, and reference data. Minor gaps such as award amendments or more granular exclusion handling exist, but the surface is fundamentally complete.