significant_changes

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states it 'returns' a subset, implying read-only, but does not disclose side effects, authentication needs, rate limits, or whether data is cached/real-time. This is insufficient.

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, efficient sentence (15 words) that conveys the core purpose without redundancy. Every word earns its place, typical of a well-crafted definition.

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 has 9 parameters, no output schema, and no annotations, the description is too brief. It does not explain what 'structured factual subset' means, how filters combine, or the relationship to sibling 'recent_changes'. More context is needed for effective 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?

All 9 parameters have descriptions in the input schema (100% coverage), so schema already provides meaning. The description adds implicit context by listing filter types that correspond to the 'include_signals' enum, but does not elaborate on other parameters. Baseline for high coverage is 3.

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 returns a 'structured factual subset of recent changes' with specific filters (no 12-month releases, activity shifts, etc.). This provides a clear verb and resource. However, it does not explicitly differentiate from the sibling 'recent_changes' tool, making it less distinct.

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 gives no guidance on when to use this tool versus alternatives (e.g., 'recent_changes'). It lists what is returned but omits context such as prerequisites, output format, or scenarios where this tool is preferred.

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