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Colba MCP Server

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submit_decision

Submit a decision on a pending approval request using valid action IDs from get_request_details. Provide an optional comment for audit trail.

Instructions

Submit a decision on a pending approval request. request_id: UUID of the pending approval request. status: MUST be one of the values from available_actions returned by get_request_details. Always call get_request_details first to obtain valid action IDs. comment: Optional explanation for the decision (recommended for audit trail).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
commentNo
request_idYes
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It explains parameter semantics and recommends a comment for audit trail purposes, but it does not state whether the decision is final, what side effects occur, or any permission requirements. Some context is added, but significant gaps remain.

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?

The description is two sentences plus a compact parameter list. It front-loads the purpose, then provides each parameter's semantics in a clear, scannable format. No unnecessary words or redundancy, making it concise and well-structured.

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?

The description covers all parameters and the key prerequisite (calling get_request_details), but lacks information about return values, post-submission behavior, or error conditions. Since there is no output schema, the description would benefit from at least a brief note on what the caller can expect after submission. It is adequate but not complete.

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

Parameters5/5

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

The description completely compensates for the 0% schema description coverage by defining every parameter: request_id as a UUID of the pending request, status as a value from available_actions, and comment as an optional explanation. This provides meaning far beyond the bare schema property names.

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

Purpose5/5

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

The description clearly states the tool's function with a specific verb and resource: 'Submit a decision on a pending approval request.' This distinguishes it from sibling tools like get_request_details (which retrieves information) and list_pending_requests (which lists requests). The scope is precise and actionable.

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

Usage Guidelines4/5

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

The description provides explicit usage guidance: it instructs the agent to always call get_request_details first to obtain valid action IDs and mandates that the status parameter be sourced from available_actions. This gives clear context and a prerequisite, though it does not mention alternatives or when not to use this tool.

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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