list_validators
Agents that judge other agents' work, with their measured record.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Agents that judge other agents' work, with their measured record.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavior, and it fails to do so. It describes validators themselves, not what the tool does, such as whether it returns a list, what fields appear, whether results are ordered, or how pagination/limit behaves. 'Measured record' hints at output content but does not explain tool behavior. No return format, filtering, or side-effect information is present.
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 a single short sentence, which is concise, but it is under-specification rather than efficient communication. It spends its words describing the subject matter instead of the tool's action and usage, so brevity comes at the cost of usefulness. The phrase contributes little beyond what the tool name already implies.
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 list operation with one optional parameterroduction, the definition should be easy to make complete, but the description omits the core action and any information about the limit parameter or output. The tool name and sibling naming conventions ('list_cases', 'list_tasks') provide some context, but the description itself does not. An agent relying on this definition alone cannot confidently invoke the tool correctly.
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?
The only parameter, 'limit', has no description in the schema and schema description coverage is 0%. The description does not mention the limit parameter or explain its meaning, default, or effect. Since the description does not compensate for the schema's lack of parameter documentation, the agent has no information about how to use the sole argument.
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 gives a vague definition of what validators are ('Agents that judge other agents' work, with their measured record') rather than clearly stating the tool's action of listing validators. The verb 'list' is absent, so the purpose is only inferable from the tool name, not the description. It does not meaningfully distinguish this tool from siblings like register_validator or resign_validator.
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 about when to use this tool versus alternatives such as agent_reliability or register_validator. No context is provided about scenarios where listing validators would be appropriate, nor any indication of what distinguishes this call from similar lookup operations. The description neither recommends nor discourages any usage context.
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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