ElectroGen

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=false), and the description adds a non-obvious trait the annotations do not: the content is 'marketing-accurate,' warning the agent that the returned text is promotional rather than neutral fact. It does not describe return format or length, but that gap is minor for a zero-parameter read.

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 front-loaded sentence that names the action before the content list. The enumeration of five content areas is slightly list-heavy but each item is informative about the return, so the length earns its place.

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 no parameters, the description carries the burden of describing what comes back, and it does so by naming the content categories the agent will receive. Missing only metadata such as approximate size or whether links are stable.

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 tool takes zero parameters, so there is nothing for the description to document; the baseline for a parameterless tool applies. The description instead spends its text describing the payload, which is the right allocation.

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 (Return) and resource (a description of ElectroGen AI) and enumerates the exact facets covered: prompt-to-blueprint pipeline, supported platforms, plan tiers, links. It is clear on its own, but it does not distinguish itself from siblings like get_capabilities, which an agent could reasonably confuse with 'what it does'.

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 for a general platform overview, but there is no explicit when-to-use, no prerequisite, and no pointer to get_capabilities or the list_* siblings for more specific data. Adequate but leaves routing to 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 readOnlyHint=true and openWorldHint=false, correctly matching a safe, closed-context read. The description adds what the payload contains but does not disclose return format, size, or caching behavior. With annotations covering safety, this is adequate but thin.

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 well-formed sentence that front-loads the return verb and lists contents efficiently. No redundant or filler text. It could be slightly improved by leading with routing information, but it is structurally clean.

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 zero-parameter read-only discovery tool with annotations covering safety, the description is mostly complete in listing what is returned. However, it omits pagination/caching/fallback behavior and gives no guidance on when to call it versus describe_platform, which weakens completeness given the sibling ambiguity.

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 tool takes zero parameters, which per the rubric sets a baseline of 4. The description does not need to explain parameters, and correctly does not introduce any. There is nothing extra to add here.

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 (Return) and resource (ElectroGen runtime capabilities and catalog metadata), and enumerates the payload contents (backend features, plan tier catalog, feature list, public API endpoints). It is clear what the tool does. However, it does not differentiate itself from the sibling describe_platform, which could plausibly also describe the platform, so it falls short of 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?

No when-to-use, when-not-to-use, or alternative guidance is given. The description never mentions the sibling tools (describe_platform, get_component_products, etc.), so an agent has no explicit routing signal for choosing this tool over those. Usage must be inferred.

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 and openWorldHint=false, so the safety profile is covered. The description adds that results carry brand, price range, availability, rating, and vendor links — useful output context given no output schema — but says nothing about pagination, auth, or rate limits.

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 tightly packed sentence with the resource and its filterable/returned dimensions front-loaded. No filler or repetition.

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 read-only catalog search with full schema coverage and no output schema, the description adequately conveys scope and returned attributes. It stops short of explaining result ordering or how the empty-query case behaves, but nothing essential for invoking it is missing.

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 100%, so limit, query, and category are already fully documented in the schema. The description adds nothing about parameter syntax or interaction (e.g., how query combines with category), so the baseline 3 applies.

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 (query) and resource (ElectroGen component marketplace) and enumerates the product types covered (modules, sensors, boards, kits). It is clearly distinguishable from siblings like list_news_posts or get_capabilities, though it never explicitly names or contrasts them.

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?

There is no guidance on when to use this tool versus the siblings (describe_platform, get_capabilities, list_news_posts, list_public_projects), nor any stated preconditions or exclusions. Usage is only implied by the resource name.

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 cover the safety profile (readOnlyHint=true, openWorldHint=false), so the bar is lower. The description adds real context beyond them: it enumerates the returned fields and points the agent to apiUrl for the article body, which is a behavioral hint about a follow-up call. It omits pagination behavior, which the limit cap implies but never explains.

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 dense sentence with a semicolon: content scope first, then the field list, then the apiUrl follow-up. No filler, and the most decision-relevant 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?

With no output schema, the description compensates by naming the returned fields and telling the agent where the full body lives, which is exactly what is needed to call and then use the result. Nothing essential for correct invocation is missing.

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 100% for the single 'limit' parameter, so the schema already explains the 1-50 range and default. The description adds no syntax, ordering, or filtering detail beyond what the schema provides, making the baseline 3 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?

States a specific verb and resource ('List published ElectroGen AI news articles') and scopes it with concrete content types (DIY electronics guides, product updates, release notes). The 'published' qualifier and enumerated topics make it clearly distinguishable from unrelated siblings like list_public_projects or get_component_products.

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 by the name and the 'published' scoping, and the description indirectly guides follow-up by saying to fetch apiUrl for the full body. However, it never states when to prefer this over other listing tools or any preconditions/exclusions, so the routing guidance is only inferable.

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 and openWorldHint=false, so safety is covered; the description adds the meaningful behavioral detail that results are truncated card summaries (title, description, platform, difficulty, time/cost, tags, links) rather than full project data. It does not mention ordering or pagination behavior beyond the limit parameter.

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?

Three tight sentences, front-loaded with the action and source, then the return shape, then the escape hatch for more detail. Every sentence earns its place with no repetition of schema or annotation 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?

With no output schema, the description takes on the burden of describing return values and does so explicitly, listing the fields of the card summary and pointing to get_capabilities/apiUrl for full blueprints. Combined with annotations covering the read-only nature, an agent has everything needed to call it 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?

Schema description coverage is 100% and the single limit parameter is fully documented in the schema (range 1-50, default 25), so the description is not required to compensate. It adds no extra meaning about the limit, which is the correct baseline-3 outcome.

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 ('List publicly shared electronics projects') plus the source collection ('ElectroGen community gallery'), and explicitly separates itself from get_capabilities, which the agent would otherwise confuse with this listing tool.

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?

Gives a clear routing rule: use this for browsing summaries, use get_capabilities or the apiUrl field for full blueprints. It does not address when to prefer this over list_news_posts or get_component_products, so it falls short of full when/when-not coverage.

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