Crc32
crc32CRC-32 Checksum: Compute CRC-32 of input
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
crc32CRC-32 Checksum: Compute CRC-32 of input
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral burden. It accurately discloses that the operation is a CRC-32 checksum computation, which is a pure, non-destructive function. However, it does not specify the CRC-32 variant, input encoding, or output format, though an output schema exists to cover return structure.
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 short and front-loaded with the algorithm name. It avoids fluff, though the phrase 'CRC-32 Checksum' partly duplicates the tool title and the rest of the sentence.
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 one-parameter deterministic tool with an output schema, the description is minimally viable. It tells the agent what to compute and which parameter is the input, but omits usage context, CRC-32 variant specifics, and any caveats, leaving room for mis-selection or misuse.
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%, so the description must give q meaning. It does convey that q is 'input', but nothing more: no format, length expectations, encoding, or default behavior. This is minimal compensation for an undocumented parameter.
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 states a specific verb ('Compute') and a specific resource ('CRC-32 of input'), making the tool's function clear. It names the exact algorithm, which differentiates it from broader siblings like 'checksum', though it does not explicitly contrast with them.
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?
There is no guidance on when to use this tool rather than alternatives such as 'checksum', 'sha256lookup', or 'hashid'. The description only says what it does, not when an agent should choose it or avoid it.
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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