TopAlternativesTo

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds output semantics (verdict, ranked list, price, why leave) and the nuance that 'staying put' may be a valid result. However, it doesn't disclose behavior like handling of invalid slugs, empty results, or data freshness. Given annotations carry the read-only nature, the description's added behavioral context is modest.

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 about two sentences plus a usage clause, roughly 60 words. It conveys purpose, output composition, and usage in a compact manner. The only critique is that the WHEN TO USE clause is placed at the end rather than front-loaded, but overall it is concise and well-structured.

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 one-parameter read-only tool with no output schema, the description covers everything an agent needs: it defines what the tool returns (verdict, ranked list, price, reasons), the input (slug), and the trigger conditions. The mention of 'staying put' as a valid outcome adds completeness. No critical information 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%, and the schema already explains that the slug parameter is the 'Slug of the tool being replaced, for example zendesk.' The description does not add any parameter-specific information beyond what the schema provides, so it provides no extra value; baseline 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 clearly states the verb (returns) and resource (ranked alternatives to a given tool), and details the exact output: verdict, ranked list with prices, and reasons teams leave. This distinguishes it from siblings get_tool (which returns a single tool) and search_tools (which searches broadly).

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?

Explicitly provides a WHEN TO USE section listing query patterns like 'alternatives to X', 'replace X', 'X competitors', and 'something cheaper than X'. This gives clear guidance on when to select this tool over siblings, though it doesn't explicitly state exclusions, the conditions effectively indicate when not to use it.

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 destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context about what information is returned, including the vendor source URL and checked date, but does not disclose additional side effects or authorization requirements. With annotations covering the safety baseline, a 3 is appropriate.

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 and returned content are front-loaded in the first sentence, and the routing instruction is placed in the second sentence 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 low complexity of one documented parameter and no output schema, the description is nearly complete: it explains what is returned, how the single parameter is used, and what to do if the slug is unknown. Minor details such as error behavior for nonexistent slugs are not covered, but they are not essential for invoking the 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?

Schema description coverage is 100% and the single required parameter is clearly documented with examples. The description only restates that the tool works 'by slug,' adding no meaningful semantic detail beyond what the schema already provides, so the baseline of 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?

The description clearly identifies the tool as returning full detail for a single tool identified by slug, and lists the specific content it provides (what it is, pricing, source URL, checked date, fit). It distinguishes itself from search_tools by instructing users to search first if the slug is unknown, but it does not mention get_alternatives, so sibling differentiation is incomplete.

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 an explicit routing rule: 'Use search_tools first if you do not know the slug.' This implies get_tool should be used when the slug is already known. However, it does not address when get_alternatives would be the better choice or provide any exclusion criteria for 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?

Annotations already mark the operation read-only and non-destructive, so the description's contribution is the result-composition detail: each result carries price, vendor page, and checked date. That adds transparency about what the agent gets back without contradicting annotations. Not every edge behavior (e.g., pagination) is disclosed, but the bar is low with annotations present.

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 compact and front-loaded: purpose first, filter list, result detail, then a labeled WHEN TO USE with alternatives. No sentence is wasted.

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 search tool with zero required parameters and full schema coverage, this description covers purpose, filters, result content, and sibling routing. The absence of an output schema is offset by the 'Every result carries...' sentence, and examples pin down the intended use cases.

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 the baseline is 3. The description paraphrases the query, category, free_tier, and max_price filters but adds no new semantics beyond the examples; the limit param is left wholly 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?

States a specific verb ('Search') and resource ('TopAlternativesTo's catalogue of software tools'), enumerates the available filters, and differentiates from siblings by pointing to get_alternatives and get_tool for different intents.

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?

Explicit 'WHEN TO USE' section gives concrete example queries ('project management tools under 15 dollars'), and clearly states when to use get_alternatives ('replace a specific tool') and get_tool ('full detail on one'). This is clear routing guidance with no inference required.

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