encoding_url_decode

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

No annotations are provided, so the description carries the full behavioral burden. It does not disclose how invalid or malformed percent sequences are handled, whether '+' is decoded as a space, or whether decoding is idempotent/tolerant of unencoded input. For a transformation tool with zero annotation coverage, this is a meaningful gap.

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?

A single front-loaded sentence with zero filler. Every word earns its place and the operation is stated first.

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?

An output schema exists, so explaining return values is unnecessary, and the simple pure-transform nature keeps requirements low. Still, the description omits edge-case behavior (invalid escapes, '+' handling) that an agent would need to use it correctly on arbitrary input.

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?

Schema description coverage is 0%, so the schema documents nothing beyond the parameter name 'text'. The description partially compensates by clarifying that the input is a percent-encoded string, which is the key semantic the agent needs. It does not, however, describe format constraints or example inputs.

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 states a specific verb and resource: 'URL-decode' acting on 'a percent-encoded string'. An agent can immediately tell this is the inverse of encoding_url_encode. However, it does not explicitly name or contrast itself with the sibling encoding_url_encode, so it falls short of full sibling differentiation.

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?

There is no guidance on when to use this tool versus alternatives such as encoding_url_encode or the other encoding_* siblings. The direction of the transform is implied by the name, but no conditions, prerequisites, or exclusions are stated.

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