Text-Toolkit

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the transformation (Base64 to text) but doesn't describe error handling (e.g., for invalid input), performance characteristics, or output specifics (e.g., text encoding). This is a significant gap for a tool with no annotation coverage.

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 ('Decode Base64 to text') with zero wasted words. It front-loads the core purpose efficiently. Every word earns its place, making it easy to scan and understand quickly.

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 annotations, no output schema), the description is incomplete. It doesn't cover error cases, input validation, or output details. For a decoding operation, more context on behavior and limitations would be helpful, especially with no structured fields to compensate.

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 adds no parameter semantics beyond what the input schema provides. With 0% schema description coverage, the single parameter 'text' is undocumented in both schema and description. The description implies the parameter should be Base64-encoded text but doesn't specify format or constraints. Baseline 3 is appropriate as the schema defines the parameter minimally.

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 'Decode Base64 to text' clearly states the verb (decode) and resource (Base64), with the output format (text) specified. It distinguishes from sibling tools like 'encode_base64' by indicating the opposite operation. However, it doesn't fully differentiate from other decoding tools like 'decode_html' or 'decode_url' beyond the input format.

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 prerequisites (e.g., that input must be valid Base64), exclusions (e.g., not for URL-encoded data), or comparisons to siblings like 'decode_html' or 'decode_url'. Usage is implied by the name and purpose but not explicitly stated.

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