Skip to main content
Glama

list_requirements

Find subgoals by filtering on suite, type, content, confidence, and missing patterns. Returns up to 100 results to locate specific AI safety requirements.

Instructions

List subgoals matching filters (suite_id, suite_type, content_type, min_confidence, missing_pattern_only). Results capped by limit (default 50, max 100).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
suite_idNo
suite_typeNo
content_typeNo
min_confidenceNo
include_patternNo
missing_pattern_onlyNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions a result cap and default limit, but lacks disclosure about read-only nature, authorization needs, rate limits, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler. Could be more informative per sentence, but efficiently conveys core purpose and limit constraint.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 7 parameters, no output schema, and no annotations, the description is insufficient. It does not define 'subgoals', explain return format, or clarify filter logic.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description must compensate. It only lists parameter names without explaining their meanings or enum values. Does not describe 'include_pattern' or how filters combine.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('List') and resource ('subgoals'), and lists the filter parameters. However, it does not fully distinguish from siblings like 'search_patterns' or 'list_suites', and 'subgoals' is not defined.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use when filtering by specified criteria, but no explicit guidance on when to use this tool versus alternatives, nor any exclusions or when-not-to-use instructions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/NellInc/saferagenticai-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server