Text-Toolkit

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions encoding but doesn't specify whether this is a read-only operation, what encoding standard is used (e.g., percent-encoding), potential side effects, or error handling. This is inadequate for a tool that modifies data.

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 extremely concise with just three words, front-loaded and without any wasted language. Every word ('Encode text for URLs') directly contributes to understanding the tool's purpose efficiently.

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?

Given the tool's simplicity (1 parameter, no output schema, no annotations), the description is incomplete. It doesn't explain the encoding method, output format, or common use cases, which are essential for an agent to use this tool correctly alongside its many siblings.

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?

The description implies the 'text' parameter is the input to encode, which aligns with the single required parameter in the schema. Since there are 0 parameters with schema description coverage, the description adds meaningful context by clarifying what the parameter represents, though it doesn't detail encoding specifics.

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 'Encode text for URLs' clearly states the tool's function with a specific verb ('encode') and resource ('text for URLs'), but it doesn't distinguish this from its sibling decode_url or explain what URL encoding entails. It's not tautological but remains somewhat vague about the specific encoding method.

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 like encode_html, encode_base64, or decode_url. It lacks context about typical use cases, prerequisites, or exclusions, leaving the agent to infer usage from the tool name alone.

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