Get Cross-Project Insights

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds only that analysis spans 'all' projects, and says nothing about aggregation thresholds (the min_entries default of 3), how patterns are derived, or cost/performance of a cross-project scan — with an output schema present, return shape needn't be explained, so a 3 is fair.

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?

Two sentences, zero filler, with the scope-defining 'all GitHub Projects' clause front-loaded before the usage hint. Nothing here could be trimmed without losing content.

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?

Rich annotations plus an output schema and high param coverage mean the description doesn't need to carry behavioral or return-value burden. The remaining gap is real but modest: no differentiation from team_get_cross_project_insights and no mention of the aggregation threshold that determines which projects appear.

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 88%, so the schema already documents start_date, end_date, min_entries, and workspace_id, plus the anti-hallucination hints that query/limit/project_number must not be passed. The description's phrase 'across all GitHub Projects' reinforces that scoping is not per-project, but it adds no meaning about date filtering or the min_entries threshold, so it sits at the baseline.

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?

States a specific verb and resource: 'Analyze patterns across all GitHub Projects tracked in journal entries', which tells an agent this is a cross-project aggregation over journal data rather than a per-project or per-entry lookup. It does not acknowledge the near-identical sibling team_get_cross_project_insights, so the agent cannot distinguish the two from the text alone.

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?

'Use for architecture planning' supplies one concrete scenario, which gives an implied use case. However, there are no exclusions, no prerequisites, and no routing guidance versus team_get_cross_project_insights or get_repo_insights, so an agent must infer when this is the right choice.

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