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test_regex

Test a regex pattern against a string with optional flags (ignore case, multiline, dotall). Get structured analysis results without side effects.

Instructions

Test a regex pattern against a string. Flags: i(gnorecase), m(ultiline), s(dotall).

Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results.

Args: pattern (str): The pattern to analyze or process. test_string (str): The test string to analyze or process. flags (str): The flags to analyze or process. api_key (str): The api key to analyze or process.

Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent — calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternYes
test_stringYes
flagsNo
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

No annotations are provided, so the description fully carries the burden. It comprehensively covers side effects (read-only), authentication (none for basic), rate limits (10/day free, unlimited pro), error handling (structured errors), idempotency, and data privacy. All claims are specific and actionable.

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

Conciseness3/5

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

The description is well-structured with headings, but it is verbose and contains redundancy (e.g., 'Behavioral Transparency' section largely repeats earlier lines about read-only, authentication, and rate limits). The first sentence effectively captures the core purpose.

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?

While the description covers behavior, auth, and errors well, it fails to mention the tool's output format beyond error objects. An output schema exists but the description does not indicate what a successful response contains (e.g., match results, indices). This leaves ambiguity about the return value.

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?

Input schema has 0% description coverage, so the description must compensate. However, the 'Args' section merely restates parameter names and adds the generic phrase 'to analyze or process' for each, without explaining valid values, formats, or the role of 'api_key'. This adds minimal semantic value.

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

Purpose5/5

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

The description clearly states the tool tests a regex pattern against a string, including flag options. It distinguishes from sibling tools (build_regex, explain_regex, extract_matches) by focusing on testing functionality.

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?

The description includes 'When to use' and 'When NOT to use' sections, but the guidance is generic (e.g., 'structured analysis or classification of inputs') and not specific to regex testing. It lacks explicit comparison to sibling tools for when to choose testing over building or extracting.

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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