get_credentialing_summary
Get the credentialing summary: totals for tracked credentials, action needed, lapsed with billing at risk, due in 30 days, and sitting with the payer.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get the credentialing summary: totals for tracked credentials, action needed, lapsed with billing at risk, due in 30 days, and sitting with the payer.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"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.
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