TailThemes

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

Annotations already mark the operation read-only and idempotent; the description adds valuable behavioral detail: licensing requirements, the need to call again with a license key, and that a ready-to-fetch URL is returned. It does not cover failure modes, but the core behavior is well disclosed.

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 with no filler. The core purpose is front-loaded, and the conditional licensing details are packed efficiently into the second sentence.

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 read-only tool with one required parameter, the description covers the workflow, authentication nuance, and expected result. Annotations cover the safety profile, and no output schema is needed because the return value is described as a URL.

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%, so the baseline is 3. The description adds workflow meaning beyond the schema by explaining that paid themes require buying a license and calling again with license_key, and that the result is a ready-to-fetch URL. This is modest but genuine added context.

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 specific verb and resource: 'Get a theme's zip download URL.' It is clearly distinguished from siblings like get_theme or get_component, which fetch metadata or components rather than a download URL.

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 gives explicit usage conditions: free themes need no credentials, paid themes require an active license, and the caller should re-invoke with license_key after purchasing. It does not explicitly contrast with sibling tools, but the resource difference makes the intended use clear.

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 mark this as read-only, idempotent, and non-destructive, so the safety profile is covered. The description adds useful constraints: the file must be 'manifest-declared' (only certain paths are valid) and 'Paid theme source requires entitlement' (a condition that can cause failures). These are behavioral facts not present in annotations.

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 short sentences: the first states the action and allowed file categories, the second adds the entitlement caveat. There is no fluff, and the most important scoping information comes first.

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?

A read-only method with two fully documented required parameters, no output schema, and no hidden side effects. The description covers the file scope and the entitlement risk. Nothing essential is missing for an agent to invoke this tool correctly.

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?

Both parameters (slug and file) have clear descriptions in the schema, so schema coverage is effectively 100%. The description adds little beyond the schema, only narrowing what kinds of files are allowed ('component, page, theme.css, AGENTS.md, or README.md'). This is marginal added meaning, so a 3 is appropriate.

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 a specific action ('Read') and a precise resource ('one manifest-declared component, page, theme.css, AGENTS.md, or README.md file'), which clearly distinguishes it from sibling tools like get_theme (likely metadata) or download_theme (likely archive download). It answers what the tool does without ambiguity.

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 context is clear: this tool is for reading individual files declared in a theme's manifest, not for retrieving the whole theme or searching themes. It also warns about paid themes needing entitlement. It does not explicitly name alternatives or say 'use get_theme for X', but the wording makes the intended use obvious, so it meets the 'clear context, no exclusions' bar.

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 readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds behavioral context by stating that it returns a complete public manifest (including tokens) and the theme's docs, implying no authentication for public themes. It doesn't mention error behavior or output format, but for a read-only fetch this is acceptable.

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 one sentence that front-loads the action and resource. Every word contributes: 'complete public manifest' sets scope, and the list of docs is explicit. No filler or redundant phrasing.

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, existing annotations, and no output schema, the description adequately conveys the tool's purpose and returned contents. It could be more explicit about the returned data structure or error cases, but given the low complexity, it is reasonably complete.

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 input schema covers the single 'slug' parameter with a description, so schema coverage is 100%. The description doesn't add any additional parameter-level details beyond what the schema already provides; it only refers to 'a theme' without elaborating on formatting or validation.

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 uses the specific verb 'Get' and identifies the resource as a theme's complete public manifest, including tokens, plus AGENTS.md and README.md. This clearly distinguishes it from siblings like download_theme (likely package download) and get_component (single component). The scope is precise.

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 doesn't explicitly state when to use this tool instead of alternatives, nor does it mention exclusions. The usage is implied by the description itself, but it does not reference sibling tools like search_themes or download_theme, so the agent must infer the appropriate context.

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 readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds the 'public' scope which is useful, but provides no additional behavioral context like pagination or result limits. This is adequate but not rich.

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, clear sentence that conveys the tool's purpose and scope with no extraneous words. All essential information is front-loaded.

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 read-only search tool with two optional parameters and full schema coverage, the description covers the essential usage. There is no output schema, so return format is not specified, but for a metadata search this is a minor gap. Annotations provide safety context.

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%, so both parameters (query and category) are documented in the schema. The description mentions searching by name/description/tags/category, which maps to the query parameter, but adds no new information about parameter behavior or formats beyond what the schema provides.

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 states a specific verb ('Search'), a clear resource ('public Tailthemes metadata'), and the searchable fields (name, description, tags, category). This distinguishes it from sibling tools like get_theme or download_theme, which have different purposes.

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 explain when to use this tool versus alternatives. It implies searching is for discovery, but there is no explicit guidance on when to use search_themes instead of get_theme or get_component.

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