analyze_adr_timeline

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

No annotations are provided, so the description bears full responsibility. It discloses key behaviors like auto-detection of project phase, threshold adaptation, and generation of a work queue. However, it does not explicitly state whether the tool is read-only or requires permissions, leaving room for ambiguity about side effects. The description is moderately transparent but could be improved.

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 concise, consisting of two sentences that front-load the primary action and key features. Every phrase adds value—smart time tracking, adaptive thresholds, actionable recommendations, and auto-detection—with zero redundancy or filler.

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 7 parameters and no output schema, the description provides an overview but does not explain the return value format or structure. It mentions generating a 'prioritized work queue' but omits details on output schema, pagination, or how results are presented. For a complex analysis tool, this leaves the agent partially informed.

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% with all 7 parameters documented. The description adds significant context beyond the schema by explaining that auto-detected context uses startup/growth/mature phases and that the generated work queue prioritizes based on staleness, implementation lag, and technical debt. This enriches the agent's understanding of how parameters influence analysis.

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 identifies the tool as analyzing ADR timelines with smart time tracking and actionable recommendations. It specifies auto-detection of project context and generation of a prioritized work queue, which aligns well with the tool name and differentiates it from generic analysis tools, though it does not explicitly distinguish from sibling tools like analyze_project_ecosystem or compare_adr_progress.

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 does not provide guidance on when to use this tool versus alternatives. It implies usage for timeline analysis but omits exclusions, prerequisites, or comparisons to similar siblings such as analyze_deployment_progress or analyze_project_ecosystem, leaving the agent without decision criteria.

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