Update an award or vendor watch
update_award_watchChange, pause, or resume an award or vendor watch.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
update_award_watchChange, pause, or resume an award or vendor watch.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover non-read-only and idempotent behavior; the description adds the 'pause/resume' state-change semantics. However, it doesn't disclose what identifying information is needed, whether an existing watch is required, or what state transitions are possible beyond the verbs.
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?
A single, clear sentence fully front-loads the action and resource. There is no filler, redundancy, or unnecessary detail.
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?
The description is adequate for a simple mutation with no parameters, but it lacks context about prerequisites (e.g., existing watch), how the award/vendor watch is identified, and what the result of pausing/resuming looks like. Given the sibling watch-management tools, a bit more workflow context would help.
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 input schema has zero parameters, so there is no parameter detail to explain; the schema coverage is 100% and an empty schema is self-documenting. The description reasonably relies on context for the target watch, though it doesn't mention how that target is resolved.
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 uses specific verbs ('Change, pause, or resume') and clearly identifies the resource ('an award or vendor watch'). It distinguishes the tool from creation tools like watch_award/watch_vendor and read tools like get_watch_status, though it doesn't explicitly differentiate update variants.
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 guidance is provided for when to use this tool versus alternatives such as get_watch_status, watch_award, or watch_vendor. The intended use is only implied by the verb 'update' and title, with no exclusions or workflow context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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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.