credcycle

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

With no annotations, the description carries the full burden of behavioral disclosure. It discloses the output format (CSV text) and fields, but does not mention read-only nature, permissions, rate limits, or any side effects. It provides moderate transparency but lacks safety or operational details.

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 includes the verb, resource, format, and content. Every word contributes value with no redundancy or filler.

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 tool's simplicity (no parameters, no output schema, no annotations), the description adequately covers what it does, the format, and the contents. It could mention potential output size or encoding, but it is sufficiently complete for an 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?

The tool has zero parameters, so the description does not need to explain parameter semantics. The description mentioning output fields is not parameter-related. Per the baseline for 0 parameters, a score of 4 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 'Export' plus the resource 'full credentialing report' and the output format 'CSV text', making the tool's purpose specific and distinguishable from sibling getter tools. It also lists the report's contents, leaving no ambiguity about what is exported.

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 use for obtaining the complete report as a CSV, contrasting with siblings like get_credentialing_summary or search_credentials, but it does not explicitly state when to choose this over alternatives or any excluded situations. Guidance is implied 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?

Without annotations, the description carries the burden of explaining behavior. It specifies exactly what the tool returns (totals for various credential categories). The use of 'get' implies a read-only operation, and the description lists the data points included, which adds clarity beyond what the name alone provides.

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 sentence with a colon and a list of specific items. It is front-loaded with the main action and efficiently conveys all necessary details 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 no input parameters and no output schema, the description provides a solid overview of what the summary contains. It covers the main categories but could be more explicit about the return structure or the meaning of 'action needed' or 'sitting with the payer'. However, the listed components are sufficient for an agent to understand the tool's purpose.

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 has zero parameters, so the description does not need to explain parameter usage. According to the rubric, a baseline of 4 applies when there are no parameters, and the description appropriately focuses on the output rather than input.

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: to retrieve a credentialing summary with specific components (totals, action needed, lapsed with billing at risk, due in 30 days, sitting with the payer). This distinguishes it from sibling tools like get_credentials_due or list_billing_at_risk, which focus on specific subsets.

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 getting an overview summary, while siblings are for specific lists or exports. It does not explicitly say when to use this versus alternatives, but the mention of 'summary' and the listed components provide enough contextual 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 burden of behavioral disclosure. It adds useful context by clarifying the default look-ahead window (90 days) and the included item types, but it does not mention return format, pagination, or any filtering/exclusion rules beyond the due-date window.

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 efficient, front-loaded sentence. Every clause adds meaningful scope or inclusion detail, with no filler or redundant information.

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 simple (one optional parameter, no output schema), so the description is largely sufficient for selection and invocation. It could improve by indicating return format or explicitly differentiating from sibling tools, but given the low complexity, the current description is adequate.

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 single 'days' parameter is fully documented in the input schema, and the description reinforces it by referencing 'N days' and the default of 90. It adds no additional meaning beyond what the schema already provides, so a baseline score of 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 uses a specific verb ('List') and clearly identifies the resource: credentials and payer cycles due within a configurable time window. It also specifies included subcategories (CAQH attestations and re-credentialing packets), which distinguishes it from broader tools like search_credentials and 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?

Usage is implied by the due-date scope, but there is no explicit guidance on when to use this tool versus siblings such as export_credentialing_report or get_credentialing_summary. It does not state when not to use this tool or name alternatives.

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 discloses the ordering behavior ('Most urgent first') and the scope (lapsed/missing credentials, claim impact). While it doesn't mention permissions or side effects, the verb 'List' implies a safe read operation, and the urgency detail adds meaningful behavioral context.

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 exactly two sentences: the first states the action and scope, the second adds ordering. Every word earns its place, with no redundancy or filler.

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 tool with no output schema, the description is sufficiently complete: it states the subject, the condition, and the ordering. It doesn't enumerate return fields, but that is not essential for a simple list 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 is 4. The description adds context about the output (providers at risk) and the ordering, which is not present in the empty schema. No parameter explanations are needed.

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 'List' and resource 'providers', narrowing to those with lapsed/missing credentials or payer enrolment, and ties to claim denials. This clearly distinguishes it from sibling tools like search_credentials by focusing on billing risk.

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 a clear use case: identify providers whose claims are denying or about to deny. It does not explicitly name alternatives or exclusions, but the context is specific enough for an agent to know when to select it over generic credential search tools.

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 for behavioral disclosure. It states the tool returns matching records with due date and status, which adds useful context about the output. However, it does not explicitly mention that the operation is read-only or disclose any potential side effects, though 'Search' strongly implies a safe read. Additional details like pagination or access requirements are absent.

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 long, front-loaded with the primary purpose, and includes essential output details without extraneous information. Every clause contributes to understanding what the tool does and what it returns.

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 simple with one optional parameter and no output schema, but the description compensates by explaining the return fields (due date and status). It does not mention limits, pagination, or error handling, but for a basic search tool this is acceptable. The absence of explicit usage guidelines slightly reduces completeness.

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 provides high coverage (100%) with a detailed description of the 'query' parameter. The tool description adds extra value by explicitly enumerating searchable fields (provider name, payer, credential type), including 'payer' which is not explicitly mentioned in the schema. This clarifies the query semantics beyond the schema's generic 'provider or credential' phrasing.

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 searches provider credentials by provider name, payer, or credential type, using the verb 'Search' with a specific resource. However, it does not explicitly distinguish itself from sibling tools like get_credentialing_summary or get_credentials_due, though the focus on searching and returning status and due dates helps imply its role.

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 no explicit guidance on when to use this tool versus alternatives. It implies general search functionality but omits exclusions or conditions, such as using get_credentials_due for specifically due credentials or get_credentialing_summary for summaries. This forces the agent to infer usage from context.

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