list_cases
List published public case studies.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | zh-CN |
List published public case studies.
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | zh-CN |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the useful 'published public' filter scope, but says nothing about result size, pagination, or ordering, which matter for a list tool.
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?
One short sentence with no filler, and the key scope qualifier is front-loaded. It is efficient, though it is arguably too terse given the gaps elsewhere.
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 simple read-only list tool with annotations covering safety and no output schema, the description is minimally adequate. It omits the language parameter's effect and any hint about result shape or volume, leaving small but real gaps.
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%, but the single parameter is a two-value enum (zh-CN/en) with a default, which is largely self-documenting. The description never mentions the language parameter or what the default implies, so it adds no meaning beyond the schema.
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 (List) and resource (case studies) with a scoping qualifier ('published public') that tells the agent these are the public-facing entries. It implicitly contrasts with the singular get_case sibling, though it never names it.
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?
Usage is only implied: an agent can infer this is the enumeration counterpart to get_case, but the description never says when to use this versus get_case or the other list_* tools. No exclusions or prerequisites are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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