alert_submission_opportunity_changes

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions returning go/no-go alerts and the conditions that trigger them, but does not disclose whether the operation is read-only, if it requires prior state (e.g., watched hackathons), how alerts are delivered, or any other side effects. This is minimal detail for a monitoring tool.

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 two concise sentences with no fluff. It front-loads the action ('Check watched hackathons') and then states the output type and trigger conditions. Every word earns its 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?

Given the tool's role in a larger workflow (with siblings like watch_hackathon, refresh_gallery_state, diff_competitor_landscape), the description is under-specified. It does not explain the relationship to these tools, the meaning of project_id, or the expected output structure beyond 'alerts'. An output schema exists but is not shown, and the description does not need to repeat it, yet other contextual gaps remain.

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 has one parameter, project_id, with no description (0% coverage). The description does not explicitly explain that project_id identifies the project of interest, although the phrase 'affect a project' hints at it. This is insufficient for an agent to confidently know how to set the parameter.

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 tool checks watched hackathons for landscape changes affecting a project and returns go/no-go alerts. This specific verb+resource combination distinguishes it from siblings like diff_competitor_landscape, which likely provides diffs rather than actionable alerts.

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 usage context: it should be used when you have watched hackathons and want alerts about crowding or gallery shifts. However, it does not explicitly state when to use this over alternatives like diff_competitor_landscape or refresh_gallery_state, nor does it mention any prerequisites such as having called watch_hackathon first.

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