SaveDataServiceApiTestResult

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

With no annotations provided, the description carries full burden for behavioral disclosure. '保存' (save) implies a write/mutation operation, but the description doesn't disclose whether this requires specific permissions, whether it overwrites existing test results, what happens on success/failure, or any rate limits. For a mutation tool with zero annotation coverage, this represents a significant gap in behavioral transparency. The description doesn't contradict annotations (none exist), but provides minimal behavioral context.

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 description is extremely concise - a single phrase in Chinese. While this represents under-specification rather than ideal conciseness, the description itself contains no wasted words or redundant information. It's front-loaded with the core action, though it lacks any supporting context. The extreme brevity prevents structural issues but comes at the cost of completeness.

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?

Given this is a mutation tool (implied by 'save') with no annotations and no output schema, the description is inadequate. It doesn't explain what happens after saving, what format the saved results take, whether the operation is idempotent, or how it relates to the testing workflow. The 100% schema coverage helps with parameters, but the overall context for using this tool remains incomplete. For a write operation in what appears to be a data service API testing system, more guidance is needed.

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%, meaning all 5 parameters have descriptions in the schema itself. The tool description adds no additional parameter information beyond what's already documented in the schema. According to scoring rules, when schema_description_coverage is high (>80%), the baseline score is 3 even with no parameter information in the description. The description doesn't compensate for any gaps because there are none in the schema documentation.

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 '保存API测试结果' (Save API test results) is a tautology that essentially restates the tool name 'SaveDataServiceApiTestResult' in Chinese. It provides a basic verb+resource combination but lacks specificity about what kind of API test results are being saved, for what purpose, or how this differs from related tools like 'TestDataServiceApi' or 'GetDataServiceApiTest'. The purpose is minimally stated without meaningful differentiation from siblings.

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?

The description provides absolutely no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, context, or relationship to other tools like 'TestDataServiceApi' (which likely generates test results) or 'GetDataServiceApiTest' (which might retrieve test results). The agent receives no help in determining when this save operation is appropriate versus other data service API operations.

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