multiply
Calculate the product of two numbers with this multiplication tool from the Crucher MCP scientific calculator server.
Instructions
Multiplies two numbers.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
Calculate the product of two numbers with this multiplication tool from the Crucher MCP scientific calculator server.
Multiplies two numbers.
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the description does not need to add much. However, it adds no additional behavioral details (e.g., precision, overflow handling) beyond the bare operation.
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, concise sentence with no wasted words. It is front-loaded and efficiently conveys the purpose.
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 simple multiplication tool with rich annotations, the description adequately conveys the core behavior. The return value (product) is implied, and no output schema exists. Sibling tools are all math operations, so the context is clear.
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%, but the description does not elaborate on the parameters a and b beyond their numeric type (already in schema). The parameter names are self-explanatory, but no extra semantics are provided.
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 uses the specific verb 'multiples' and resource 'two numbers,' clearly stating the tool's function. It distinguishes itself from sibling math operations like add or subtract by naming the distinct operation.
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. The description simply states the operation without context about prerequisites, alternatives, or conditions.
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/islobodan/cruncher-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server