record_decision
Log decisions with supporting text, files, or evidence to document choices made during tasks.
Instructions
Record a decision made during the task.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| files | No | ||
| evidence | No |
Log decisions with supporting text, files, or evidence to document choices made during tasks.
Record a decision made during the task.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| files | No | ||
| evidence | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden for behavioral disclosure. It does not mention any side effects, required permissions, immutability, or whether the decision is stored persistently. The verb 'record' implies saving, but no details are given.
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 sacrifices necessary details. It is front-loaded with the action, but every word is generic and does not earn its place by adding value beyond the tool name.
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?
Given 3 parameters (one required) and a lack of output schema or annotations, the description is severely incomplete. It fails to explain what constitutes a decision, how to format the text, or how evidence and files are attached. The agent cannot reliably invoke this tool based solely on the description.
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?
Schema description coverage is 0%, and the description adds no information about the parameters beyond their existence. It does not explain what 'text', 'files', or 'evidence' mean, or how they should be used, forcing the agent to infer from names alone.
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 clearly states the verb 'record' and the resource 'decision', making the basic purpose understandable. However, it does not differentiate from sibling tools like record_source or record_dead_end, which also involve recording something.
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?
No guidance is provided on when to use this tool versus alternatives such as record_source or record_dead_end. The description lacks context on prerequisites, typical use cases, or exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ihorponom/agentpack'
If you have feedback or need assistance with the MCP directory API, please join our Discord server