convert_length
Convert a numeric value from one length unit to another. Specify the source and target units for accurate conversion.
Instructions
Convert between length units.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | Yes | ||
| from | Yes | ||
| to | Yes |
Convert a numeric value from one length unit to another. Specify the source and target units for accurate conversion.
Convert between length units.
| Name | Required | Description | Default |
|---|---|---|---|
| value | Yes | ||
| from | Yes | ||
| to | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description lacks any behavioral details such as supported units, precision, rounding, or error handling. The agent has no insight into how the conversion is performed.
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 very short (one sentence), which is concise but may under-inform. It is not overly verbose, but conciseness should not sacrifice necessary detail.
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 tool with 3 required parameters and no output schema, the description is severely lacking. It does not cover supported units, return value format, or usage examples, making it insufficient for correct invocation.
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 has three parameters (value, from, to) with 0% description coverage. The description adds no information about accepted units, format constraints, or examples, leaving the agent to guess.
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?
Description clearly states 'Convert between length units,' identifying the verb and resource. The name and schema reinforce this, but no explicit differentiation from sibling converters like convert_area or convert_weight.
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 on when to use this tool versus other converter tools (e.g., convert_area, convert_weight). The description does not mention context or alternatives.
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/malamutemayhem/unclick'
If you have feedback or need assistance with the MCP directory API, please join our Discord server