Accept ai tracking suggestions

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

Annotations only give readOnly=false, openWorld=false, destructive=false. The description adds real behavioral context beyond them: immutable revision preservation, explicit budget consent, stable retry keys (idempotency), and a clear 'starts no paid baseline/provider work' guarantee. It stops short of describing atomicity or partial-failure behavior.

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?

Three short sentences, no padding, ending on the most decision-relevant exclusion. The opening sentence is the weakest element—vague filler ahead of the more informative behavioral clauses.

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?

No output schema exists, and the complex nested drafts payload is fully documented in the schema, so the description covers the important guarantees (immutability, consent, retry stability, no paid work). It does not address return/confirmation semantics or partial-acceptance behavior for a tool that accepts up to 20 drafts.

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%, including rich nested descriptions for drafts, provenance, and trust references, so the schema already carries full parameter meaning. The description adds no parameter-level detail beyond it, which is the expected baseline of 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?

"Manage project-scoped AI tracking" is a vague category verb that does not state the actual operation—accepting and saving suggestion drafts—even though the name and the drafts schema description do. It never distinguishes itself from siblings like suggest_ai_tracking_prompts, ai_tracking_suggestions_preview, or ai_tracking_suggestions_generate, which all concern the same AI tracking suggestion pipeline.

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?

No when-to-use guidance and no named alternative. "This does not start an automatic paid baseline" is a scope exclusion but not a tool-selection rule; it never explains when an agent should pick this over the preview/generate/suggest siblings.

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