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agentspan-ai

MCP Test Server

by agentspan-ai

validation_is_palindrome

Checks whether a string reads the same forward and backward, respecting letter case. Use it to validate palindrome input with case-sensitive matching.

Instructions

Check whether a string is a case-sensitive palindrome.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.4

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose one meaningful trait: case-sensitivity (so 'Aba' would not pass). However, it is silent on other behaviors that materially affect a palindrome check — whitespace, punctuation, and Unicode normalization — so the disclosure is partial.

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?

One short sentence, front-loaded with the essential qualifier ('case-sensitive') and free of padding. Nothing is wasted and nothing essential is buried.

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

Completeness3/5

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

The output schema means the return value needn't be explained, and the input is a trivial string. Still, for a predicate whose result depends heavily on normalization rules, the description omits whether whitespace/punctuation are ignored, which is likely the most common source of caller error.

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

Parameters2/5

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

Schema description coverage is 0%, so the single 'text' parameter is documented nowhere. The description only implies the input is a string (already conveyed by the schema type) and adds no format, length, or edge-case semantics for the argument.

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?

The description states a specific verb + resource ('Check whether a string is a palindrome') and adds the qualifying trait 'case-sensitive', which separates it from the other validation_* predicates. It is clear without needing to open the schema, though it does not explicitly contrast itself with siblings like validation_matches_regex.

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

Usage Guidelines2/5

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

No when-to-use, when-not-to-use, or alternative guidance is given. A reader must infer that this is for palindrome testing within the validation family entirely from the name; the description provides no routing information.

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