add_gradient_temperature

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

Annotations declare readOnlyHint=false and destructiveHint=false, so the mutation profile is known, and the description is consistent with those annotations. However, the description adds little behavioral context beyond the parameter list: it does not state whether repeated application accumulates, whether an existing load case is required, or what side effects occur on the model.

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?

The docstring-style format is compact and well organized: a one-line action summary followed by a complete Args block. The bilingual text doubles length but is intentional for the target engineering domain. No filler or redundant sentences.

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 6-parameter load-application tool with no output schema, the description covers parameter semantics thoroughly but omits workflow context: whether the load case must pre-exist, expected units for temperature, and what the tool returns after success. These are minor but non-trivial gaps for correct invocation.

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 0%, so the description carries the full burden, and it succeeds. Every parameter gets a bilingual meaning: element_id explains that strings are supported as range strings, section_oriental gives the 0=Y/1=Z meanings and the beams-only constraint, element_type gives the 1=beam/2=plate mapping, and defaults are restated. This adds genuine value beyond the bare schema types.

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 opens with 'Apply gradient temperature load (梯度温度荷载)', which states a specific verb and resource. However, it does not differentiate itself from closely related sibling tools such as add_system_temperature, add_beam_section_temperature, and add_custom_temperature, so an agent must infer the distinction from the name alone.

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 no guidance on when to use this tool versus the many alternative load/temperature tools in the sibling list. No prerequisites (e.g., needing an existing load case), no exclusion criteria, and no mention of when a different temperature/load tool would be more appropriate are provided.

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