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UK Data: Code utilities

is_perfect_square

Read-onlyIdempotent

Checks if a number is a perfect square (i.e., the square of an integer). (cost: 1 credit)

Input Schema

NameRequiredDescriptionDefault
numNonumber, required, number to check, no unit, no default

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful non-schema context in '(cost: 1 credit)', but says nothing about the return value (boolean?), behavior on negative inputs, or how a string argument like '16' is handled despite the parameter accepting strings.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with an inline clarifying parenthetical and the credit cost appended. Nothing is redundant and the core meaning is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter predicate with full annotation coverage and full schema coverage, the description is nearly complete; the only meaningful gap is that with no output schema it does not say the result is a true/false answer, nor how edge cases (0, negatives, non-integer strings) are treated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single parameter is fully documented as 'number to check, no unit, no default'. The description's parenthetical adds conceptual meaning to 'perfect square' but no syntax or input-handling detail beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Checks') and a precise mathematical property, reinforced by the parenthetical definition 'the square of an integer'. It does not explicitly differentiate itself from adjacent predicate siblings such as is_prime or is_power, so it falls just short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the name and the word 'Checks'; there is no statement of when to prefer this over is_power, is_prime, or a general calculate call, and no exclusions or prerequisites are given.

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

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