list_rubric_templates
MCP-Agents tool list_rubric_templates. Same name as the live catalog on https://agents.securelend.ai.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
MCP-Agents tool list_rubric_templates. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full behavioral burden. It discloses nothing about whether the operation is read-only, requires authentication, makes network calls, returns a list, or has any side effects. The URL mention is not a behavioral description.
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 short, but it is under-specified rather than concisely informative. The two sentences essentially repeat the tool name and offer only a URL, so brevity is not earning its place.
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 zero-parameter tool with no output schema and no annotations, the description still fails to explain what rubric templates are, what the returned catalog looks like, or how this tool differs from the many sibling list tools. An agent has insufficient context to invoke or understand the result.
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 tool has zero required parameters and the schema has no defined properties, so there is little parameter semantics to explain. The description adds nothing, but the absence of parameters makes a high baseline appropriate despite the schema's additionalProperties: true being unaddressed.
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 only restates the tool's name and says it is the same as a live catalog on a URL. It never states the actual operation, such as retrieving or listing rubric templates, so an agent cannot determine what the tool does from the description.
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 any sibling tool such as list_custom_blueprints, list_models, or list_pricing. No criteria, prerequisites, or alternatives are mentioned.
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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