generate_companies
Generate random placeholder company names.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| count | No | Number of company names |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| count | Yes | ||
| companies | Yes |
Generate random placeholder company names.
| Name | Required | Description | Default |
|---|---|---|---|
| count | No | Number of company names |
| Name | Required | Description | Default |
|---|---|---|---|
| count | Yes | ||
| companies | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only states the purpose and does not disclose any behavioral details such as the nature of the names (e.g., fictional, varied, from a list) 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence that efficiently conveys the tool's purpose with no unnecessary words.
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?
The tool is simple, and an output schema exists (though not shown). The description is adequate for basic use but lacks context about output format or uniqueness of names.
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 100%, so the baseline is 3. The description adds 'placeholder' context but does not provide extra meaning beyond the schema's description of 'count' as 'Number of company names'.
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 'Generate random placeholder company names' clearly states the verb and resource. The name 'generate_companies' and the count parameter imply multiple names, but it does not explicitly differentiate from sibling 'random_company' which likely generates a single name.
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 alternatives like 'random_company' or 'generate_names'. The description lacks context for selection.
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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