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convert_text_to_binary

Convert text to binary code or decode binary back to readable text for data processing, encoding, or debugging tasks.

Instructions

Convert text to binary and vice versa

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesText to convert to binary, or binary to convert to text
operationYesOperation: encode text to binary or decode binary to text
Behavior3/5

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

Annotations provide readOnlyHint=false, indicating this is not a read-only operation (appropriate for conversion). The description adds minimal behavioral context beyond annotations - it implies the tool performs bidirectional conversion but doesn't specify encoding standards (ASCII, UTF-8?), error handling for invalid binary input, or output format details. No contradiction with annotations exists.

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 - a single sentence that efficiently communicates the core functionality. Every word earns its place with no redundancy or unnecessary elaboration. The structure is front-loaded with the primary purpose immediately clear.

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

Completeness3/5

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

For a conversion tool with 2 parameters and no output schema, the description is minimally adequate. It states what the tool does but lacks important context: no information about output format, encoding standards, error conditions, or performance characteristics. With readOnlyHint=false annotation, the mutation nature is covered, but behavioral details are sparse.

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?

With 100% schema description coverage, both parameters are well-documented in the schema itself. The description adds no additional parameter semantics beyond what's already in the schema descriptions. It doesn't clarify encoding standards, character set limitations, or binary format specifics. The baseline of 3 is appropriate when the schema carries the full parameter documentation burden.

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

Purpose4/5

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

The description clearly states the tool's purpose: converting text to binary and vice versa. It specifies the bidirectional nature with 'and vice versa', which is more specific than just restating the name. However, it doesn't explicitly distinguish this from sibling tools like convert_number_base or encode_base64, which handle different conversion types.

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. With many sibling conversion tools (e.g., convert_number_base, encode_base64, convert_text_to_unicode), there's no indication of when text-to-binary conversion is appropriate versus other encoding or text transformation methods. The description simply states what it does without contextual usage information.

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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