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magicschoolm

MCP Utility Tools

by magicschoolm

hash_text

Generate a hash digest from text using MD5, SHA-1, SHA-256, or SHA-512. Select the algorithm to create a checksum for data verification and integrity.

Instructions

Generate a hash digest of the given text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text to hash.
algorithmNoOne of "md5", "sha1", "sha256", "sha512" (default "sha256").sha256

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of disclosing behavior. It only says 'generate a hash digest' and does not mention output format, determinism, encoding, or potential edge cases like invalid algorithm values. This is minimal for a tool with no annotation support.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no redundant words, front-loading the core purpose. Every word contributes to understanding the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity, complete parameter schema, and presence of an output schema, the description is largely sufficient. It lacks usage context, but the core function is clearly stated and well-supported by structured metadata.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, with both parameters fully described in the schema (including default and allowed algorithm values). The description adds no semantically meaningful information beyond referring to 'text', so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Generate') and resource ('hash digest of the given text'), clearly stating what the tool does. It is easily distinguished from sibling utility tools like convert_units or generate_password, which serve different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. It only states the action without contextualizing appropriate use cases, such as checksums or password hashing.

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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