Text-Toolkit

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

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Encode HTML entities' implies a transformation operation but doesn't specify what gets encoded (e.g., <, >, &, quotes), whether it's idempotent, or if there are any side effects. For a tool with zero annotation coverage, this minimal description leaves significant behavioral questions unanswered.

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 perfectly concise at three words, with zero wasted language. It's front-loaded with the core action ('encode') and resource ('HTML entities'), making it immediately scannable. Every word earns its place by directly contributing to understanding the tool's 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?

Given the tool's moderate complexity (transformation operation), no annotations, no output schema, and 0% schema description coverage, the description is insufficiently complete. It doesn't explain what 'encode' means operationally, what format the output takes, or provide any examples. For a tool that modifies data, more context about behavior and results is needed for safe and effective use.

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 schema has 0% description coverage, so the description must compensate. It mentions 'HTML entities' which relates to the 'text' parameter, implying the tool takes text input and outputs encoded HTML. However, it doesn't explain parameter specifics like encoding standards (e.g., HTML5 entities), handling of invalid input, or examples. This provides basic context but falls short of fully compensating for the schema gap.

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 HTML entities' clearly states the verb ('encode') and resource ('HTML entities'), making the purpose immediately understandable. It distinguishes from sibling tools like 'decode_html' by specifying encoding rather than decoding. However, it doesn't explicitly differentiate from other encoding tools like 'encode_base64' or 'encode_url', which prevents a perfect score.

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. It doesn't mention scenarios like sanitizing HTML input, preparing text for web display, or avoiding XSS attacks. With siblings like 'decode_html', 'format_html', and various string manipulation tools, the lack of usage context leaves the agent guessing about appropriate applications.

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