credcycle

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 discloses the output format (CSV text) and content (provider, credential, due date, status, follow-up history), but does not mention any potential side effects, read-only nature, performance implications, or authentication requirements. For a simple export, this is adequate but not exhaustive.

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 a single, well-structured sentence that front-loads the action ('Export') and the scope ('full credentialing report'). It efficiently conveys the output format and contents without redundancy, earning a perfect score.

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 parameters and no output schema, the description must convey the return value, which it does by specifying the CSV fields. It is complete enough for an agent to understand what will be returned, though it could optionally mention the exact header order or note about large reports. Overall, it is sufficient for a simple export 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?

There are zero parameters, and the schema coverage is 100% vacuously. The baseline for zero parameters is 4, and the description adds no parameter information because none exist, which 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 states a specific verb (export), a specific resource (full credentialing report), and the output format (CSV text) with a list of included fields. It clearly distinguishes itself from siblings like get_credentialing_summary (summary) and get_credentials_due (due list) by focusing on the complete export.

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 implies this is for a comprehensive export, but it does not explicitly state when to use this tool versus the sibling tools like get_credentialing_summary or get_credentials_due. There is no explicit 'use this when' or 'prefer that when' guidance, leaving the selection to inference from the term 'full report'.

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 provided, the description carries the full burden. It states the tool 'gets' data, implying a read-only operation with no side effects, which is helpful. However, it does not disclose any additional behaviors such as authentication requirements, performance characteristics, or whether the summary reflects real-time or cached data. Since it is a straightforward read operation, the absence of explicit disclaimers is not critical, but the description does not go beyond the obvious.

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 a single, efficient sentence that leads with the action and resource, then lists the key metrics. It is front-loaded and every word contributes to the meaning. There is no fluff or repetition, making it easy for an agent to parse quickly.

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 parameterless getter with no output schema, the description adequately conveys what the tool returns by naming the specific categories of totals. It does not explain the exact data type or structure (e.g., whether they are numbers, arrays), but given the simplicity and the absence of parameters, an agent can reasonably infer a straightforward result. The only minor gap is the lack of clarification on scope (e.g., all credentials or filtered by some default) but that is likely inherent to a summary 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 tool has zero parameters, so the baseline for this dimension is 4. The description adds no parameter details because there are none to document. It does clarify what the returned summary covers, which indirectly informs that no input is needed to get that specific data. No additional value is expected or required for parameter semantics 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?

The description states a clear verb ('Get') and resource ('credentialing summary'), and enumerates the specific aggregates it returns (totals for tracked credentials, action needed, lapsed with billing at risk, due in 30 days, sitting with the payer). This differentiates it from sibling tools like get_credentials_due or list_billing_at_risk, which target individual subsets, while this tool provides a consolidated view.

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 implies the tool is for an aggregate overview but does not explicitly state when to prefer it over siblings or when not to use it. There is no mention of alternatives or conditions that would make this tool the right choice. The name 'summary' and the listed categories suggest use for high-level reporting, but this is left to inference rather than being 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states that the tool lists items due within a time window and mentions the default, but it does not disclose potential limitations (e.g., pagination, result limits, or behavior when no results exist). It implies a read operation but does not explicitly state it. This 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?

The description is a single, front-loaded sentence that immediately states the verb and resource, then adds the time window and examples. There is no filler or redundant information beyond the default, which is also in the schema but is harmless. 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 tool with one optional parameter and no output schema, the description is largely complete. It states what is listed, the time window, and the default, and even enumerates specific item types. However, it does not specify the return format (e.g., whether it returns full records or just counts) or any edge-case behavior, which a fully complete description might include. Given the simplicity, this is a minor gap.

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 schema already describes the 'days' parameter including its default value ('default 90'). The description's mention of 'default 90' is redundant with the schema, so it adds no new meaning. Baseline 3 is appropriate because the schema already carries the 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 clearly states the verb 'List' and the resource 'credentials and payer cycles due within the next N days', and adds specifics like 'CAQH attestations and re-credentialing packets'. It is not a tautology and provides concrete scope, but it does not explicitly differentiate from sibling tools like get_credentialing_summary or search_credentials, so it misses the full 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?

The description gives no guidance on when to use this tool versus its siblings. It does not mention alternatives, exclusions, or conditions. The only contextual hint is the default time window, which is a parameter detail rather than usage guidance.

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 behavioral burden. It discloses the selection filter and the sort order ('most urgent first'), which is genuinely useful. However, it does not describe the output shape, pagination, or any rate-limit/auth behavior; for a zero-parameter list tool this is a modest gap.

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?

One compact sentence with the action front-loaded and every clause earning its place. It conveys scope, urgency, and ordering without any 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 parameterless list tool, the description fully specifies what is listed, why it matters, and how results are ordered. It does not define the return fields or pagination, but the purpose and sibling context make the provider-list output predictable.

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 has zero parameters, so the schema carries no semantic load and the baseline is 4. The description correctly adds no parameter details because none exist; there is nothing missing.

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 ('List') and resource ('providers') with precise status criteria ('lapsed or missing credential or payer enrollment') and a clear consequence ('claims denying or about to'). The 'most urgent first' ordering further distinguishes it from siblings like search_credentials and get_credentials_due.

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 denial-focused framing implies when to use it, but there is no explicit guidance about when to prefer this over get_credentials_due or get_credentialing_summary. No alternatives or exclusions are named, so an agent must infer the boundary between this tool and its siblings.

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 needs to carry the behavioral burden. It explains the return type (matching records with due date and status) and the verb 'search' implies a read-only operation. It does not explicitly state that no modifications occur or mention auth/rate limit requirements, but for a simple search tool this is a sufficient disclosure and adds more context than the schema alone.

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 two sentences with zero wasted words; it front-loads the action ('Search provider credentials...') and then specifies the return information. No extra fluff, repetitive phrases, or unnecessary context.

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?

The tool is a single-parameter, non-nested search with no output schema. The description explains both the search scope and the key return fields (due date and status), so an agent can call it without ambiguity. The schema alone documents the optional search-all behavior, and while the description could mention listing everything, that omission is minor.

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 describes the query parameter with 100% coverage, including case-insensitivity and shorthand. The description goes beyond the schema by enumerating specific targets (provider name, payer, credential type), giving the agent clearer guidance on how to construct query values that will match.

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 'Search' and clearly identifies the resource (provider credentials) and the search dimensions (provider name, payer, credential type). This makes it easily distinguishable from sibling tools like export_credentialing_report or get_credentialing_summary.

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 implies usage for searching credential records by those fields, but it does not explicitly say when to use this tool versus alternatives like get_credentials_due or list_billing_at_risk, nor does it mention any exclusion criteria. The presence of sibling tools makes explicit routing guidance valuable, but it's still implied context that a search function is appropriate.

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