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generate_md5

generate_md5

Generate MD5 hash values from text input for data verification, integrity checks, or cryptographic applications within development workflows.

Instructions

Generate MD5 hash

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
Behavior2/5

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

With no annotations, the description carries full burden but lacks behavioral details. It doesn't disclose that MD5 is a one-way hash function, potential performance aspects, or output format (e.g., hexadecimal string). It implies generation but doesn't clarify if it's deterministic or has 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.

Conciseness5/5

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

The description is extremely concise with no wasted words—just three words. It's front-loaded and efficiently states the core function, though this brevity contributes to gaps in other dimensions.

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

Completeness2/5

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

Given no annotations, no output schema, and 0% schema coverage, the description is incomplete. It doesn't explain the tool's behavior, output, or context within sibling tools, leaving significant gaps for an AI agent to understand and invoke it correctly.

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 description coverage is 0%, and the description doesn't add parameter meaning. It doesn't explain what 'text' represents (e.g., input string to hash) or any constraints (e.g., encoding, length). With 1 parameter and low coverage, baseline is 3 as it minimally compensates by implying text is hashed.

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

Purpose3/5

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

The description 'Generate MD5 hash' states the action and output but is vague about what it generates the hash from. It doesn't specify that it hashes the input text parameter, nor does it differentiate from sibling hash tools like generate_sha1 or generate_sha256, which perform similar functions with different algorithms.

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?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention MD5's specific use cases (e.g., checksums, legacy systems) or warn against its limitations (e.g., cryptographic insecurity), nor does it reference sibling tools for other hash algorithms or text processing tasks.

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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