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generate_headlines

Generate multiple headline options for a product targeting a specific platform. Define product, platform, and desired count to receive creative headline suggestions.

Instructions

Generate multiple headlines

Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. 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: product (str): The product to analyze or process. platform (str): The platform to analyze or process. count (int): The count 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
productNoour product
platformNogoogle
countNo
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

A detailed 'Behavioral Transparency' section covers side effects, authentication, rate limits, error handling, idempotency, and data privacy. This fully compensates for missing annotations and gives the agent comprehensive understanding of tool behavior. No contradictions with the tool's nature.

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 bold section headers, but it contains redundancy (e.g., 'Behavior' and 'Behavioral Transparency' overlap) and is longer than necessary. The generic 'Args' section adds little value. A more concise, tool-specific version would be better.

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?

Despite an output schema existing, the description fails to link inputs to headline generation, leaving a completeness gap. The extensive behavioral coverage is positive, but the core function and parameter roles are insufficiently specified. An agent would struggle to understand how to use the parameters correctly.

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?

With 0% schema description coverage, the description must add meaning. The 'Args' section merely repeats parameter names and adds generic phrases like 'The product to analyze or process', which is unhelpful. No context is given for how 'product', 'platform', 'count', or 'api_key' relate to headline generation.

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

Purpose2/5

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

The description starts with 'Generate multiple headlines' but then shifts to generic language about 'structured analysis or classification'. This mismatch between the tool name and the description's focus on analysis undermines clarity. The verb and resource are stated only in the first line, and subsequent sections are inconsistent.

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?

Explicit 'When to use' and 'When NOT to use' sections are present, providing some guidance on context and caution. However, the guidelines are generic and do not differentiate this tool from siblings like generate_ad_copy or generate_variants. The advice to use for 'structured analysis' does not align well with headline generation.

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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