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TinyFn

adler32_checksum

Calculate Adler-32 checksum.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to checksum

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
adler32Yes
adler32_intYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior1/5

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

With no annotations provided, the description must disclose behavioral traits, but it only states the basic function. It omits important details like performance characteristics, collision properties, or input size limits, leaving the agent uninformed.

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

Conciseness3/5

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

The description is extremely concise at 3 words, but it lacks structure or supporting details. While it avoids fluff, it could add context without losing conciseness.

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 the tool's simplicity and the presence of an output schema, the description is incomplete. It does not explain the output format, input constraints, or any auxiliary behavior. Sibling tools often have more informative descriptions.

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 100%, so the input schema already documents the 'text' parameter. The description adds no extra meaning beyond the schema, resulting in a baseline score.

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 'Calculate Adler-32 checksum.' clearly specifies the action ('Calculate') and resource ('Adler-32 checksum'), distinguishing it from sibling checksum tools like crc32_checksum, md5_checksum, etc., by naming the specific algorithm.

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 over alternatives such as crc32_checksum, md5_checksum, or sha256_checksum. The description lacks any criteria or 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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