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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds only that input may be spaced or unspaced; it says nothing about how invalid characters are handled or how the dual text/number output is structured.

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 no filler; the decoding action and the input-format tolerance are stated immediately.

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 one-parameter read-only conversion tool with no output schema, the description covers the accepted input format and both output interpretations. The missing piece is how the two outputs (decoded text vs. number) are presented, which matters given there is no output schema.

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 one parameter at 100% schema coverage the baseline is 3, but the description earns extra credit by clarifying that spaces between the 0s and 1s are optional — meaning beyond the schema example, which shows only the spaced form.

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?

States a specific verb (decode) and resource (binary) plus the output forms (text, whole number). It does not distinguish itself from the sibling binary_to_number, which the 'also read it as a whole number' clause actually overlaps with, leaving the boundary between the two tools unclear.

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 indication of when to pick this over binary_to_number, text_to_binary, or the other siblings. The mention of returning a whole number actively muddies the choice rather than guiding it.

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