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check_approval

Check the status of a human approval request to verify if sensitive actions can proceed.

Instructions

Check the status of a human approval request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe approval ID to check

Implementation Reference

  • The handler logic for the 'check_approval' tool, which fetches the status of an approval request from an external API.
    case 'check_approval':
      result = await call('GET', `/approve/${args.id}`);
      return {
        content: [{
          type: 'text',
          text: `Approval ${result.id}: ${result.status}${result.decision ? ` (${result.decision})` : ''}`,
        }],
      };
  • The registration and schema definition for the 'check_approval' tool.
      name: 'check_approval',
      description: 'Check the status of a human approval request.',
      inputSchema: {
        type: 'object',
        properties: {
          id: { type: 'string', description: 'The approval ID to check' },
        },
        required: ['id'],
      },
    },
Behavior2/5

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

No annotations provided, so description must carry full burden. It implies a read-only operation ('Check') but fails to disclose return format, possible status values (pending/approved/rejected), error behaviors, or rate limiting constraints.

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

Conciseness5/5

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

Single sentence of 7 words with no redundancy. Action verb leads immediately, making it efficiently scannable.

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

Completeness3/5

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

Adequate for a single-parameter tool with complete schema coverage, but gaps remain regarding output structure, possible approval states, and integration with the approval workflow (sibling tools). No output schema exists to compensate.

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

Parameters3/5

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

Schema has 100% description coverage ('The approval ID to check'), so the description appropriately relies on the schema. No additional parameter context (e.g., where to obtain the ID) is provided, warranting baseline score.

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?

Clear verb ('Check') and resource ('status of a human approval request'). Distinguishes implicitly from sibling 'request_approval' by focusing on status retrieval rather than creation, though explicit differentiation is absent.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus 'request_approval', nor does it mention the typical polling workflow after requesting approval. Lacks prerequisites or conditions.

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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