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ProAbono MCP Installation

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Verify the In-Site installation, and run the go-live checklist

verify_insite_installation

Verifies a ProAbono In-Site installation before shipping: runs live API checks, scans code for go-live issues, flags unverifiable items as pending, and outputs the 12-item checklist.

Instructions

Checks an In-Site installation before it ships. It exercises steps 2 and 3 against the account for real -- reads a customer, confirms an object comes back carrying the insite-* workflow query, and reads the Usage API for that customer, diagnosing an empty answer instead of calling it 'no rights'. It checks the developer's own files statically against the rules of the go-live checklist: no secret inlined, no customer reference from the request, no branch on ReferenceOffer, the cache replaced rather than merged, IsEnabled enforced, pagination read whole. And it reports what no API can verify -- the workflow redirect URL, the webhook validation, and the snippet's presence in the page -- as pending rather than pretending. Ends with the twelve-item go-live checklist. Run it before shipping, not after.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offer_refNoAn offer to check the subscribe workflow against. It is what makes the `insite-subscribe` query appear on the customer at all.
customer_refNoA customer to exercise the wiring against — ideally one that has subscribed. Without it, steps 2 and 3 cannot be verified end to end and are reported as unverified rather than as passing.
project_rootNoRoot of the developer's project, where `.proabono/installation.json` is written. Defaults to the directory this server was launched in, which is the project for every MCP client that starts the server inside it. Pass it when that is not the case.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.3.1

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations, the description carries the full transparency burden and succeeds. It discloses that the tool exercises steps 2 and 3 against a real account, performs static file checks, diagnoses an empty Usage API answer instead of calling it 'no rights', and reports unverifiable items as pending rather than pretending they passed.

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

Conciseness5/5

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

The description is dense but every clause earns its place: it gives the primary purpose, the concrete verification steps, the static checks, the pending-item behavior, and the final checklist. The main purpose is front-loaded in the first sentence.

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

Completeness5/5

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

Despite having no output schema, the description explains what the tool returns conceptually: verified items, pending items, and the twelve-item checklist. It covers edge cases like 'reported as unverified rather than passing' and what it cannot verify, giving an agent enough context to call it correctly.

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 coverage is 100%, so the baseline is 3 even though the description does not restate parameter-level details. The description adds useful context around offer_ref and customer_ref behavior, but the schema already thoroughly documents each parameter, so no additional compensation is needed.

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

Purpose5/5

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

The description names a specific verb and resource: it 'Checks an In-Site installation before it ships' and runs the go-live checklist. It goes well beyond the title by specifying exactly what it verifies — account wiring, static file rules, and API-unverifiable items — making it clearly distinct from installation_status or install_insite.

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

Usage Guidelines4/5

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

The description gives a clear temporal usage cue: 'Run it before shipping, not after.' It also describes what the tool does end to end, which implies the right moment to invoke it, but it does not explicitly name alternatives or state when not to use it.

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