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dallask

Accessibility MCP Server

by dallask

search_issues

Search accessibility issues from audit results by text, selector, XPath, or description. Supports case-sensitive and case-insensitive matching.

Instructions

Search issues by text content, selector, XPath, or description. Supports case-sensitive and case-insensitive search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query string.
fieldsNoFields to search: "description", "element", "xpath", "selector", "ruleId", "userImpact", "fix", or "all" (default: ["all"]).
resultsYesAudit result object from a previous audit.
caseSensitiveNoCase-sensitive search (default: false).
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but only mentions case sensitivity support. It does not clarify that the tool searches within an existing audit results object, nor does it describe the return behavior or any side effects.

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?

The description is two concise sentences, front-loaded with the action 'Search issues', and contains no filler or redundant information.

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

Completeness2/5

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

Given the tool has 4 parameters, a nested result object, and no output schema, the description is too sparse to fully guide an agent. It omits the requirement for a previous audit result, the return format, and how results are limited, leaving important operational context missing.

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?

The schema provides full descriptions for all parameters (100% coverage), so the baseline is 3. The description adds only a loose mapping to fields ('text content, selector, XPath, or description') but does not meaningfully enhance parameter understanding beyond the schema.

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 clearly states a search action on issues and lists some searchable fields (text content, selector, XPath, description). However, it does not differentiate from the sibling tool filter_issues, and 'text content' is somewhat ambiguous, so it is not a perfect 5.

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 guidance is provided on when to use this tool versus filter_issues or other sibling tools. It also fails to mention that the 'results' parameter must be an existing audit result, which is a key prerequisite.

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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