memeboat-mcp

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

The description discloses key behavioral traits: creation of a shareable meme, return of URLs, and rate limiting. Since no annotations are provided, the description carries the full burden, and it adequately covers the main aspects. However, it does not mention authentication requirements or potential side effects, but for a creation tool these are less critical.

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

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

The description is concise, consisting of three sentences that front-load the core purpose and then provide important details about caption ordering, return values, and rate limiting. Every sentence adds value without redundancy.

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

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

Given the absence of an output schema, the description includes the return format (meme page URL and direct image URL) and mentions rate limiting. It also implicitly suggests using get_meme_template for template details. However, it could mention error conditions or the need for a valid template slug for completeness.

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

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

With input schema coverage at 100%, the baseline is 3. The description adds meaningful context beyond the schema, particularly the ordering rule for captions based on count (1 caption = bottom text, 2 = classic top/bottom, N fills boxes in order) and the hint to match suggestedCaptionCount. This enriches parameter understanding.

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

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

The description clearly states the tool's purpose: creating a real, shareable meme on memebo.at by captioning a template. It distinguishes from sibling tools (get_meme_template and search_meme_templates are read-only, while this one creates). The verb 'create' and resource 'meme' are specific and unambiguous.

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

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

The description does not explicitly state when to use this tool versus alternatives. It mentions matching 'suggestedCaptionCount when possible', hinting at using get_meme_template first, but does not provide clear guidance on prerequisites or when not to use this tool.

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

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

The description indicates a read-only fetch operation ('Fetch') and discloses return fields (dimensions, image URL, caption count). No annotations exist, but the description sufficiently implies no 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.

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

The description is a single sentence (20 words) that efficiently conveys the tool's purpose, parameter source, and return fields without extraneous content.

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

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

For a simple tool with one parameter and no output schema, the description fully covers what the tool does, how to use it, and what it returns.

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

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

The single parameter 'slug' is fully documented in the schema. The description adds value by explaining its provenance (from search_meme_templates or URL) and providing an example.

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

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

The description clearly states the verb 'Fetch', the resource 'one meme template', and the method 'by its slug'. It distinguishes from sibling tools (search_meme_templates returns multiple, create_meme creates).

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

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

The description provides context that the slug comes from search_meme_templates or a URL, implying the sequence of use. However, it does not explicitly state when not to use this tool.

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

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

Describes return fields (slug, image URL, suggested caption count) but does not disclose search behavior (e.g., fuzzy matching, case sensitivity) or pagination. No annotations provided.

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

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

Two sentences, front-loaded with the core purpose and key return fields. No unnecessary words.

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

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

Adequately covers search purpose, return fields, and relation to sibling tools. Without an output schema, some structural details are missing, but the description provides sufficient context for correct usage.

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

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

Schema coverage is 100%, and the description adds value by providing example query terms and noting the slug's use with create_meme, though it could further detail the output structure.

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

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

The description clearly states it searches meme templates by name or topic, and distinguishes from siblings by focusing on search (vs. creating or retrieving a specific template).

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

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

Provides example search terms and hints at using the slug with create_meme. Implicitly differentiates from siblings, but lacks explicit when-not-to-use guidance.

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