Agent Verifier
Server Details
Spending limits for AI agents. Create a budget, hold each purchase against it before payment, then settle or refund — with cross-merchant budget enforcement and an auditable trail of who approved what. Built on the open Budget Authority Protocol (AP2-compatible). Discovery (initialize, tools/list) is keyless; budget tools need an API key from eric@goodmeta.co.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 7 tools
Most tools have clearly distinct purposes, but check_budget versus get_budget could be confused, and settle's 'confirm or cancel a payment hold' wording slightly overlaps with release for cancellations. The descriptions mostly clarify the intended sequencing and lifecycle differences.
All tool names use consistent lower_snake_case and are concise action-oriented names. The pattern is predictable across budget, reservation, and payment lifecycle operations.
Seven tools is a well-scoped set for budget and payment verification workflows. Each tool appears to earn its place without excessive surface area.
The set covers budget creation, checking, and history plus reservation lookup, settlement, release, and refund. Minor gaps exist, such as listing all reservations or updating/deleting budgets, but core lifecycle coverage is strong.
Available Tools
7 toolscheck_budgetAInspect
Check if a purchase is within budget. Call BEFORE making a payment.
| Name | Required | Description | Default |
|---|---|---|---|
| vendor | Yes | Who you are paying | |
| budget_id | Yes | Budget ID from create_budget | |
| amount_cents | Yes | Amount in cents |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. 'Check' suggests a non-mutating validation, but it does not explicitly state read-only behavior, whether funds are reserved, side effects, or failure behavior.
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?
Two short sentences with no filler: the purpose is front-loaded, followed by a clear ordering instruction. Every sentence earns its place.
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 required parameters and pre-payment timing are clear enough to invoke the tool. However, with no annotations and no output schema, the return semantics and side-effect profile remain unstated, which leaves a meaningful gap for a budget check.
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 description coverage is 100%, and all three required parameters are documented in the schema. The description adds no parameter-level meaning beyond the schema's budget, amount, and vendor fields.
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 and resource: 'Check' a 'purchase' against a 'budget.' This clearly distinguishes validation from sibling actions like create_budget or get_budget, though it does not explicitly name alternatives.
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?
Gives explicit timing guidance: 'Call BEFORE making a payment.' It does not explain when not to use it or compare it with alternatives such as get_budget or query_reservation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_budgetBInspect
Create a spending budget for this agent. Set a limit before making purchases.
| Name | Required | Description | Default |
|---|---|---|---|
| currency | No | Currency code | usd |
| valid_hours | No | Hours until expiry | |
| amount_dollars | Yes | Budget limit in dollars |
TDQS
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 implies a mutation by saying "Create," but does not disclose permissions, whether an existing budget is replaced, expiry behavior, or what the tool returns.
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 short sentences with the core action front-loaded. Every sentence contributes to understanding the tool's purpose and immediate usage 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?
For a simple three-parameter create tool with fully documented schema fields and no output schema, the description covers the basic purpose. However, with no annotations, it should say more about mutation side effects and budget lifecycle behavior.
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 description coverage is 100%, so the schema already documents amount_dollars, currency, and valid_hours. The description only reinforces the spending-limit concept and adds no further parameter semantics beyond the schema.
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 and resource: "Create a spending budget for this agent." This clearly separates creation from sibling read/check operations such as check_budget and get_budget, though it does not explicitly name those alternatives.
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 phrase "Set a limit before making purchases" gives implied usage timing, but it does not explicitly state when to use this tool versus checking, getting, or releasing a budget. No exclusions or alternatives are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_budgetCInspect
Check remaining budget and spending history.
| Name | Required | Description | Default |
|---|---|---|---|
| budget_id | Yes | Budget ID from create_budget |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It implies read-only behavior but does not explicitly state non-destructiveness, authorization requirements, or side effects. Minimal behavioral disclosure.
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?
Single sentence, front-loaded with key information. No wasted words. Appropriate for a simple tool.
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 simplicity (1 param, no output schema), the description is adequate but lacks clarification on return format of spending history and fails to distinguish from sibling 'check_budget'.
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% with budget_id description 'Budget ID from create_budget'. Description adds no extra meaning beyond the schema. 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?
Description clearly states verb 'check' and resource 'budget', specifying the information retrieved (remaining budget and spending history). However, it does not differentiate from the sibling tool 'check_budget', which appears to have a similar purpose.
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?
No guidance on when to use this tool versus alternatives like 'check_budget' or other siblings. No prerequisites or context provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
query_reservationAInspect
Look up the state of a single reservation/hold by its ID (held, settled, released, refunded, etc.).
| Name | Required | Description | Default |
|---|---|---|---|
| hold_id | Yes | Hold ID from check_budget |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It implies a read-only operation (look up), but does not explicitly state it is non-destructive or idempotent. Listing possible states adds some transparency but could be more detailed about side effects or error conditions.
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?
A single sentence that is front-loaded with the purpose and includes a list of example states. Every part earns its place; no unnecessary words.
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 (one parameter, no output schema), the description covers the core purpose and return hints. However, it could better contextualize usage among the seven sibling tools (e.g., distinguishing from get_budget or check_budget). Overall adequate but not exhaustive.
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?
Only one parameter (hold_id) exists, and the schema provides a basic description. The description adds context by stating the tool queries by ID and linking to check_budget, which gives meaning beyond the schema. With 100% schema coverage, baseline is 3, and the description adds extra value.
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 looks up the state of a single reservation/hold by its ID, listing possible states (held, settled, released, refunded). This is a specific verb+resource and distinguishes it from sibling tools like refund or release which modify state.
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 when you need to check the current state of a reservation, but does not explicitly state when not to use it or provide alternatives among the listed siblings. It lacks guidance on comparing to similar lookup functions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
refundAInspect
Refund a settled (already-committed) payment, fully or partially. Reverses the spend and restores budget. For pre-commit cancellations use release instead.
| Name | Required | Description | Default |
|---|---|---|---|
| hold_id | Yes | Hold ID of the settled payment to refund | |
| amount_cents | Yes | Amount to refund in cents | |
| idempotency_key | No | Stable key that makes retries safe. If omitted one is generated, but a retry without the same key will refund again. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses the effect (reverses spend and restores budget) but does not detail idempotency or error cases. Still, it provides essential 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?
Two concise sentences with no fluff, front-loaded with the key action and scope.
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 3 parameters and no output schema, the description explains the purpose and alternative. It could mention the return value or partial refund behavior, but it is largely sufficient.
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%, so baseline is 3. The description repeats schema descriptions without adding new meaning. It does not clarify format or constraints beyond the schema.
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 refunds a settled payment, fully or partially, distinguishing it from similar tools like release. It uses specific verbs and resources.
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 explicitly states when to use (for refunding settled payments) and when not to (for pre-commit cancellations, use release instead), providing a clear alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
releaseAInspect
Release a pre-commit hold, returning the unspent reservation to the budget. Use when a planned payment is cancelled BEFORE it settles. For already-settled payments use refund instead.
| Name | Required | Description | Default |
|---|---|---|---|
| hold_id | Yes | Hold ID from check_budget |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It indicates a mutating operation (releasing a hold) and describes the effect (returning unspent reservation). However, it does not disclose potential side effects like authorization requirements or idempotency, but the simplicity of the tool (single parameter) makes this minor.
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?
Two sentences, front-loaded with the primary action, followed by usage guidance and alternative. No extraneous words; every sentence adds value.
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 one parameter, no output schema, and a simple action, the description sufficiently covers what the tool does, when to use it, and how it differs from siblings. No additional context is needed.
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?
Input schema has 100% coverage with description for hold_id ('Hold ID from check_budget'). The description adds no further information about the parameter beyond the schema, so baseline 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 clearly states it releases a pre-commit hold and returns unspent reservation to the budget, distinguishing it from the sibling tool 'refund' by specifying the condition (cancelled before settlement vs. after settlement).
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?
Explicitly tells when to use the tool ('when a planned payment is cancelled BEFORE it settles') and when to use the alternative ('for already-settled payments use refund'), providing clear context and alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
settleAInspect
Confirm or cancel a payment hold. Call AFTER payment succeeds or fails.
| Name | Required | Description | Default |
|---|---|---|---|
| hold_id | Yes | Hold ID from check_budget | |
| success | Yes | true if payment succeeded |
TDQS
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 does disclose the meaningful behavior that this is a two-outcome mutation (confirm on success, cancel otherwise), which the schema alone doesn't state. However, it omits what canceling entails (whether funds are released), idempotency, error behavior, and required permissions.
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?
Two short sentences with zero waste, and the core action is front-loaded before the timing constraint.
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 two-parameter mutation tool with no output schema, the description plus the fully covered schema give enough to call it correctly. Remaining gaps (idempotency, effects of cancel, sibling differentiation) are real but modest for this tool's complexity.
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%, so both parameters are already documented, giving a baseline of 3. The description implies that the success boolean drives the confirm/cancel branch, adding slight meaning beyond the schema's "true if payment succeeded," but no format or edge-case detail.
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 gives a specific verb pair and resource: "Confirm or cancel a payment hold." This resolves the ambiguity of the bare name 'settle'. It does not differentiate from the sibling 'release', which sounds like it also cancels a hold, so it falls short of a 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?
"Call AFTER payment succeeds or fails" gives a clear sequencing precondition for invocation. It offers no exclusion or comparison against siblings like release or refund, so the when-not guidance is missing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
7 tool updates
- First observed
check_budget - First observed
create_budget - First observed
get_budget - First observed
query_reservation - First observed
refund - First observed
release - First observed
settle
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