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

Annotations already declare a non-destructive write, so the description's added value is the default state (taskStatus=open), the edge side effects from relations and body wiki-links, and the fact the task surfaces on the Kanban board and in list_tasks. It does not address duplicate detection or whether a failed relation id aborts the whole creation, which are the remaining meaningful unknowns for a mutation.

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, front-loaded with the outcome before the usage trigger and the downstream visibility note. The mid-sentence relation list is dense but every clause carries information; nothing is padding.

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, 100% schema coverage, and non-destructive write annotations, the description covers the trigger, the created object's shape, the relation semantics, and the downstream effects. It omits what the call returns (the created task's id?) — tolerable given no output schema, but an agent assembling a follow-up call would benefit from it.

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 coverage is 100%, so every parameter is already documented in the schema. The description reframes the relation fields conceptually (part_of a domain, realizes stories/features, governed_by specs, codeAreas as landing paths) but adds little syntax or constraint detail beyond the schema — the correct baseline 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?

States a specific verb and resource: creates a `task`-type concept with taskStatus=open, plus the relations (domain, realizes, governed_by, codeAreas) it wires up. It clarifies downstream visibility in list_tasks/take_task, but never contrasts itself with the sibling that could also create concepts (upsert_concept), so sibling differentiation is implied rather than explicit.

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 when you discover work that isn't reflected in the codebase yet (a gap, a needed fix, a follow-up)" gives a concrete trigger condition with examples. It stops short of exclusions — nothing says when to prefer upsert_concept or take_task instead — so it is clear context without alternatives.

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