Cert Atlas

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

No annotations are provided, so the description carries full burden. It states input flexibility (ids, codes, or names) and output behavior (each row links a free practice exam). It does not mention rate limits, error handling, or any side effects, but as a read-only comparison tool, the transparency is adequate.

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 pack purpose, usage examples, input details, and output behavior. No wasted words, and the structure is front-loaded with the primary action.

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 no output schema, the description hints at output ('side by side', 'each row links...'). It covers input types, use cases, and a key output feature. Missing details on error handling or return format, but for a simple comparison tool with one parameter, it is largely 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?

Schema coverage is 100% with a clear description for the only parameter 'exams'. The description adds no new meaning beyond the schema (input types and range already covered). Baseline 3 is appropriate as the description does not degrade but also does not enhance 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: compare 2-8 certification exams side by side on specific attributes (price, duration, etc.). It also provides example intents ('X vs Y', 'which is harder/cheaper') that distinguish it from sibling tools like get_exam_blueprint (single exam) and search_exams (broad search).

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 when-to-use examples ('X vs Y', 'which is harder/cheaper') and implies when not to use (e.g., single exam details go to get_exam_blueprint). However, it does not explicitly mention alternatives or when to avoid this tool, but the context is clear enough.

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 no annotations, the description carries the full transparency burden. It clearly discloses what the tool returns, including conditional content ('Reviewed records also include...') and a free practice-exam link. It implies a read-only operation by the nature of 'get', though it does not explicitly state there are no side effects, rate limits, or auth requirements. It is transparent enough for an agent to know what to expect.

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 moderately detailed but every sentence contributes: first enumerates the blueprint's contents, then adds conditional extras, then gives example queries, then clarifies the input, then notes the practice link. It is front-loaded with the core purpose and avoids redundancy. It is slightly longer than strictly necessary but not bloated.

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 single-parameter read tool with no output schema or annotations, the description is thorough. It covers what data is returned, the conditional additional records, valid input forms, and a bonus (practice link). It does not explicitly describe error conditions or the exact result format, but those are minor for a simple get operation. The description is complete enough for an agent to confidently call the tool.

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 already has a 100% description coverage for the single 'exam' parameter, stating 'Exam id, exam code, or certification name'. The description repeats exactly that information ('Accepts an exam_id, exam_code, or certification name') without adding new syntax, format, or edge-case details. Since the schema already handles the semantics, the description adds no extra value, matching the baseline of 3.

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 ('Get'), resource ('full published blueprint for ONE certification exam') and enumerates the exact contents (domain/objective breakdown, passing score, question count, duration, price, prerequisites, policy, languages, source URL). This makes the purpose unmistakable, and the emphasis on 'ONE exam' differentiates it from sibling tools like compare_exams.

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 explicit trigger phrases ("Call this for 'what's on the X exam', 'how is X weighted by domain'...") that tell an agent exactly when to invoke it. However, it does not mention alternatives or when NOT to use it, such as directing to search_exams for discovery or compare_exams for multiple-exam comparisons. The single-exam scoping is implicit rather than explicit.

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?

No annotations are provided, so the description carries the burden. 'List' implies a read-only operation, and the description adds that it returns exam counts, which is useful. However, it does not explicitly state side-effect-free behavior, mention pagination, or discuss potential empty results. It is adequate but not thorough.

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 cover purpose, usage, and filtering. The first sentence front-loads the core function and output, the second provides concrete call examples. No redundant wording.

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 list tool with one optional parameter and no output schema, the description adequately covers purpose, when to use, and filtering. It lacks explicit output format details (e.g., whether the list is a flat array or objects with counts), but that is a minor gap given the simplicity and the fact that 'exam counts' is mentioned.

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 schema already fully describes the single optional parameter 'contains' with examples. The description only restates it as 'Optionally filter by a substring', adding no new meaning. With 100% schema coverage, 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 clear verb (List), resource (certifying bodies/vendors), and adds 'with exam counts' which specifics the output. It also gives concrete example queries, clearly distinguishing it from sibling tools like search_exams or compare_exams.

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 clear when-to-use guidance ('Call for ... what certification providers/vendors are covered') but does not explicitly mention when not to use it or point to alternatives. Since siblings cover different operations, the absence of exclusionary language is acceptable but keeps it from a 5.

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?

No annotations are provided, so the description carries the full burden. It clearly states the operation is a search and lists what is returned: 'matching exams with code, certifying body, question count, domain count, and a free practice-exam link.' While it doesn't explicitly declare read-only, the verb 'Search' and the nature of returning results make the behavior transparent. There are no side effects described, which is appropriate for a pure lookup.

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 three sentences long, front-loaded with the primary action, followed by illustrative examples and a concise enumeration of the return fields. There is no redundant wording; every sentence earns its place, and the structure lets an agent quickly grasp what the tool does and when to use it.

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 four parameters, no output schema, and no annotations, the description provides sufficient context: the search scope, supported query formats, trigger scenarios, and return types. It does not mention pagination or default limit, but these are already encoded in the input schema (limit with min/max and default). The description is complete enough for an agent to call the tool correctly without additional knowledge.

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 each parameter has a clear description (e.g., 'Keywords: certification name, exam code, vendor, or topic'). The description adds examples of query values but does not introduce new meaning beyond the schema. As a result, it meets the baseline of 3, relying on the schema to clarify parameter semantics.

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 ('Search') and a precise resource ('current Cert Atlas certification and professional exam index'), and enumerates the search keys (name, code, certifying body, vendor) plus concrete examples (AWS Solutions Architect, CISSP, PMP). This clearly differentiates it from sibling tools like compare_exams or get_exam_blueprint, which are not search operations.

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 trigger: 'Call this whenever a user mentions a certification or exam — e.g. ... — or asks what certs a body offers.' This is strong guidance for when to invoke the tool. However, it does not mention alternatives or exclusions (e.g., when to use compare_exams instead), so it's not fully discriminative.

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