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

Annotations already declare readOnlyHint=false, destructiveHint=true and idempotentHint=true; the description adds genuine behavioral context that annotations cannot express, namely merge/partial-update semantics. It is silent, though, on the destruction the annotation warns about (array fields replace rather than append) and on how to clear a field, leaving the agent to discover that from the schema text.

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. The verb and affected fields come first and the important partial-update rule is front-loaded immediately after, so nothing must be scanned twice.

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?

For a 7-parameter mutation with full schema coverage and a declared output schema, the description is adequate: it names the mutable surface and states the merge rule, and return values need not be explained. The only real gap is the destructive replacement behavior of prompts/competitors, which an agent must infer from the schema rather than the description.

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% and the schema already explains enum values, defaults, gpt-vs-chatgpt behavior, replacement semantics and the tracker_id source, so baseline is 3. The description's field list merely restates the parameter names without adding format or constraint detail of its own.

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?

"Edit a citation tracker's prompts, engines, competitors, samples, cadence or webhook" gives a specific verb (edit) plus the resource and the exact editable fields, so the agent knows precisely what this mutates. It does not explicitly contrast itself with create_citation_tracker or delete_citation_tracker, which keeps it short of a 5.

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?

"Only the fields passed change" is a useful implied-usage cue, telling the agent this is a partial update rather than a full replacement and that a single tracker_id is a valid minimal call. However, there is no explicit when-to-use guidance against siblings (e.g., create vs. update) and no stated prerequisite such as needing an existing tracker first.

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