Meme Studio

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

Despite readOnlyHint=true, the description goes well beyond the annotations by disclosing that the return is an editor link (never an image source), that captions may come back with server-inserted line breaks, where the author handle is placed and how corners are claimed, and that captions are auto-fit and coloured. It also says what the returned picture contains (watermark, 1200 px, or 800 px preview) — none of which the annotations convey.

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 core requirement is front-loaded in the first sentence, but the body is a dense run-on with deeply nested parentheses covering caption re-fitting, handle placement and a curl/pipe recipe. Nearly all content is useful, yet the packing makes it harder to scan than it needs to be.

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 13-parameter tool with no output schema, the description carries the return-value burden well: editor link, per-caption results, warnings, and the preview/final picture distinction with defaults. Only a few low-risk parameters (language, filter_strength) and the exact response item shape are left unaddressed.

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 62% schema coverage across 13 params, the description adds real meaning: the one-of constraint among template/image/image_url, the accepted image formats and size/pixel limits including the first-frame GIF rule, and the three caption placement modes (slot, classic position, x/y box fractions). It leaves language, filter_strength, preview and several nested fields to the schema.

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 first sentence gives a specific verb and resource ("Create a meme") and immediately constrains the source to exactly one of template, image or image_url. It also names the sibling get_template as the place to find slots, so an agent can distinguish this creation tool from the discovery tools without opening a schema.

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?

It states the mutually-exclusive source rule, tells the agent to consult get_template for slots, and explains which picture default applies to which source. It also gives a concrete when-to-use-a-shell workflow for files on disk instead of pasting base64. What's missing is any explicit when-not-to-use guidance relative to popular_templates/search_templates.

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?

With readOnlyHint and idempotentHint already declaring the safety profile, the description adds real behavioral value: the fits_chars semantics (characters that fit before text renders small, with 0 meaning a word-or-two slot) is actionable guidance not present in annotations. It also explains that image: true / show_slots: true switches the response to an outlined, numbered picture. It does not disclose failure behavior for a bad template id or an unreachable image_url.

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 main purpose and return fields are front-loaded, and each sentence carries information. It is dense with stacked parentheticals and long clause chains, which costs a little readability but avoids filler.

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?

There is no output schema, so the description has to describe returned data, and it does so thoroughly, down to per-slot fits_chars. For a zero-required-parameter read tool with fully documented schema, the remaining gap is only edge-case behavior (invalid id, download failure).

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 parameter descriptions already state the template/image/image_url substitution and the show_slots equivalence to image: true. The description mostly restates that relationship; its only meaningful addition is confirming that slots detected in a user-supplied image are identical to those create_meme would use.

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 opens with a concrete resource and enumerates the fields returned (names, tags, size, animated, slots), so an agent knows exactly what a call yields. It also references siblings by name (template id from search_templates, semantics matching create_meme), but never explicitly contrasts this tool with search_templates or popular_templates for discovery vs. detail retrieval.

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?

It clearly lays out the two usage modes: pass a template id, or supply your own picture via image (base64) or image_url, and states the custom-image path returns the same slots create_meme uses. What's missing is any exclusion guidance – e.g. to call search_templates first when the id is unknown, or when popular_templates is the better entry point.

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 annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is fully covered elsewhere. The description's one contribution is ranking semantics ('trending this week' vs 'most used overall'), which tells the agent the ordering changes by mode. It says nothing about result shape, ordering guarantees, or whether an empty result is possible.

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?

A single compact sentence that front-loads the resource and then the two modes. Nothing is wasted, though the fragment style ('Templates people choose most in Meme Studio:') is slightly less direct than a verb-first phrasing would be.

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 three-parameter tool with no output schema and 0% schema description coverage, the description should at minimum explain what 'limit' caps and what 'animated' filters. Neither is addressed, so an agent must guess at two of the three inputs. Annotations cover the safety story, which keeps this from a 1.

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 description coverage is 0%, so the description must carry parameter meaning. It only implicitly explains the 'kind' values (trending/most used) and leaves 'limit' (max 30) and 'animated' (a filter, presumably) entirely unexplained in both schema and description. 'Animated' in particular is ambiguous — filter vs. include — and the description does nothing to resolve it.

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 names the resource (templates) and the discriminating characteristic (most popular), and splits it into two concrete modes: trending this week and most used overall. That maps cleanly onto the sibling get_template/search_templates distinction by signalling this is a ranked, popularity-ordered list rather than a lookup or query. The retrieval verb itself is only implied ('Templates people choose most'), which keeps it from a 5.

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?

Usage is implied rather than stated: an agent can infer this is the tool to call when it wants popular template suggestions rather than a specific template or a keyword search. There is no explicit 'use this instead of search_templates when...' guidance, and no mention that it takes no required parameters, so selection still relies on inference.

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?

Annotations already declare readOnly, idempotent, non-destructive and closed-world semantics, so the safety profile is covered. The description adds genuinely new behavior: results are relevance-ranked ('best matches first') and each result carries its intended use, which matters since there is no output schema. Pagination and empty-result behavior remain undisclosed.

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 compact sentences, front-loaded with the action and scope. There is mild redundancy between 'what the meme is used for (intent)' and the closing 'each with what it is used for', but nothing is wasted overall.

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?

With no output schema and only three parameters, the description covers the essentials: what is searched, in which languages, how results are ordered, and what each result contains. It stops short of explaining result-set sizing or how 'limit' bounds the response, which would complete the picture.

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 67%: query and animated are documented in the schema, while limit has no description anywhere. The description adds the intent/'what the meme is used for' search dimension and notes Spanish or English input, which slightly extends the schema's 'any language' phrasing, but the limit parameter stays opaque.

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?

States a specific verb and resource ('Search the Meme Studio catalog') plus the three search axes: name, keywords and intent, with multilingual coverage and relevance ordering. The search-vs-lookup distinction against siblings like get_template and popular_templates is inferable but never stated explicitly.

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?

Usage is implied: this is the tool for finding a template when you have a joke, situation or name in mind. There is no explicit when-to-use vs. when-not guidance and no routing to get_template (single fetch) or popular_templates (browse without a query).

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