Text-Toolkit

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but provides no information about error handling, performance characteristics, or what happens with malformed input. The description doesn't mention whether it handles percent-encoding, plus signs for spaces, or other URL encoding nuances.

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 maximally concise at just three words, with zero wasted language. It's front-loaded with the essential information and every word earns its place in communicating the core function.

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 decoding tool with no annotations, no output schema, and 0% schema description coverage, the description is insufficient. It doesn't explain what the tool returns (decoded string, error object, etc.), doesn't mention edge cases like malformed input, and provides no examples of proper usage.

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?

With 0% schema description coverage for the single 'text' parameter, the description adds meaningful context by specifying that the input should be 'URL-encoded text'. This clarifies the expected format beyond the basic string type indicated in the schema, though it could be more specific about encoding standards.

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 clearly states the verb ('decode') and resource ('URL-encoded text'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'decode_base64' or 'decode_html', which perform similar decoding operations on different encoding formats.

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?

The description provides no guidance on when to use this tool versus alternatives. With sibling tools like 'decode_base64', 'decode_html', and 'encode_url', there's no indication of when URL decoding is appropriate versus other decoding operations or when to use the complementary encoding tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.