Skip to main content
Glama

Read a weekly payer follow-up

payer_follow_up_status

Read a weekly payer follow-up with the account ID and the access token returned when it was started: whether payment is settled, each application's status (not_checked, received, in_review, needs_documents, approved with its effective date, denied, no_record), whether we write and submit it (work: write_and_submit, with submitted_on empty until it is submitted) or it was already submitted (work: follow_up), the payer's reference or representative, missing documents, the last and next check, and the log of every check (date, method, who checked, what the payer said); the roster's changes from weekly monitoring; and the deadlines within 30 and 90 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYes
access_tokenYesThe access_token payer_follow_up_request returned (shown once), or the token in an emailed status link.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose useful behavioral details such as the token being 'shown once' and 'submitted_on empty until it is submitted', but it is overwhelmingly a return-value enumeration and says nothing about permissions, auth requirements, or whether polling is safe.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded, but the remainder is a single dense run-on sentence with long semicolon-separated enumerations and nested parentheticals. The content is largely necessary given no output schema, but the structure is hard to parse and not economical.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must describe return values, and it does so thoroughly: settlement state, application statuses with enums, the work mode (write_and_submit vs follow_up), references, documents, check log, roster changes, and 30/90-day deadlines. This is strong for a status-read tool, though it lacks operational context such as auth prerequisites.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 50% (access_token documented, account_id not). The description names both parameters ('the account ID and the access token') and adds context that the access token comes from a start call or emailed link, but adds no format or constraint detail beyond that.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening clause gives a specific verb+resource: 'Read a weekly payer follow-up with the account ID and the access token returned when it was started.' This clearly separates it from the sibling payer_follow_up_request (which starts one), though that sibling is only implied, not named.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied through the reference to 'the access token returned when it was started' and 'the token in an emailed status link', which signals you call this after a follow-up exists. However, there is no explicit when-to-use, when-not-to-use, or named alternative, so guidance is only inferable.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources