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

No annotations are provided, so the description carries the full behavioral burden. It signals bidirectionality ('link or unlink') but says nothing about scope of effect (all platform sets? current one?), idempotency, reversibility, or whether unlink destroys existing per-set overrides.

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?

A single efficient sentence with the operation front-loaded. It is brief rather than bloated; the gap is under-specification, not verbosity.

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 mutation-style toggle with no annotations, no output schema, and an undocumented boolean, the description should clarify effect scope and parameter polarity. As written, an agent cannot reliably predict what enabling or disabling does.

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?

One parameter ('enabled') with 0% schema description coverage, and the description never maps true/false to link vs unlink. The reader must guess the polarity, which is a critical ambiguity for a boolean toggle.

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 pair (link/unlink) and resource (matching text layers across platform sets), which is a uniquely identifiable operation among the siblings — none of add_text, update_text, or remove_text perform linking. What 'link' means semantically is left implicit, but the operation is distinguishable.

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 indication of when to use this versus update_text or add_text, no prerequisites, and no guidance on which direction (link vs unlink) a given call performs. The agent must infer everything from context.

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