set_project_style

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

With no annotations provided, the description carries the full burden and does real work: it discloses that existing assets are not retroactively changed, that reused materials remain untouched, and that image reconstruction is out of scope. It does not state required permissions, whether the style persists across sessions, or what happens when overrides conflict with a preset — gaps, but the mutation semantics are considerably better documented than average.

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?

It is dense but front-loaded: the behavioral constraint comes first, then preset/quality/override vocabularies, then the reference-image caveat. The telegraphic, fragment-heavy style ('Presets: ... Quality: ... Overrides: ...') is efficient, though a few fragments require re-reading to parse.

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 4-parameter tool with no annotations, no output schema, and zero schema coverage, the definition supplies an unusually complete picture: scope of effect, controlled vocabularies, override sub-field semantics, and a boundary against image reconstruction. Remaining gaps are permissions and return behavior, which are minor given no output schema exists.

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 0% and there are 4 parameters, so the description must compensate, and it largely does: preset values (cozy/heritage/workshop), quality values (draft/mobile/desktop/hero), overrides sub-keys (palette options, roundness/taper/wear as 0..1, material_bindings as role -> material path) are all enumerated. The one weak spot is reference_asset, whose accepted value form ('adopts an existing recipe's style') stays vague about what is actually passed.

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?

The description names a specific verb-and-resource pair ('Remember art direction for future assets') and clarifies the scope: it affects future assets, while existing assets only change on explicit revision. It never names or contrasts with the obvious siblings (get_project_style, set_art_brief, create_style_kit), so an agent must infer the boundaries, but the core purpose is unmistakable.

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?

There is implied usage guidance — 'Use client vision for reference images, then propose concrete palette/shape values' — and an implicit exclusion, 'this tool does not reconstruct images'. However, it never says when to call this versus set_art_brief, create_style_kit, or apply_usage_preset, and never states prerequisites (e.g., a connected project or an existing asset). Adequate but leaves the routing decision to inference.

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