Skip to main content
Glama

Server Details

Business Valuation Cost: the site's own MCP server — enquiry (enquiry = a human handoff, not a...

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

Available Tools

3 tools
enquiry_describeWhat you get: an ENQUIRY with a human (not a purchase, not a guaranteed quote)AInspect

Read first. States plainly what submit_enquiry does on Business Valuation Cost: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the burden. It sets expectations that nothing is bought, ordered, or paid, no quote is guaranteed, and the service is free. It also lists the return content: recipients, consent wording, and confirmation method. It does not explicitly state that the describe call itself is side-effect-free, but 'States plainly' implies a read-only informational operation.

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?

Three short sentences with the workflow instruction front-loaded ('Read first.') and every subsequent sentence carrying essential expectation-setting or return-value information. No filler.

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?

There is no output schema, so the description must explain what comes back; it does, listing recipients, consent wording, and confirmation behavior. It also clarifies the business context: free and no guarantee. It would be slightly more complete if it explicitly named enquiry_fields as the place to get form fields.

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

Parameters4/5

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

The input schema has zero parameters and full coverage, so there is nothing for the description to add. The baseline 4 applies because no parameter compensation is needed.

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 description clearly identifies the tool as one that 'states plainly what submit_enquiry does' on Business Valuation Cost, giving a specific verb and resource. It distinguishes itself from submit_enquiry by framing itself as the informative precursor rather than the action, but it does not mention the sibling enquiry_fields, so sibling differentiation is incomplete.

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?

'Read first' gives an explicit workflow position: use this before submitting an enquiry. The description also implies the alternative is submit_enquiry when the user is actually ready to act. It does not name exclusions or mention enquiry_fields, so it stops short of full when-not guidance.

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

enquiry_fieldsThe questions the enquiry asksAInspect

Every field of the Business Valuation Cost enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description must carry the burden of behavioral disclosure. It communicates that the tool returns field definitions and does not suggest any side effects, but it does not explicitly state that it is a read-only operation or describe the response format in structural terms.

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 two sentences with no filler. It states the core content first and adds the integration hint in the second sentence, making it easy to scan.

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?

For a parameterless listing tool, the description is complete: it enumerates the output attributes, indicates the source enquiry, and explains how results relate to submit_enquiry. No output schema exists, but the description supplies enough about the expected content.

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

Parameters4/5

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

The tool has zero parameters, so the empty schema requires no parameter documentation. The description still adds useful context by explaining field keys are intended for use with submit_enquiry.

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 description clearly identifies the resource as the fields of the Business Valuation Cost enquiry and enumerates the attributes returned (key, label, type, required, help text, allowed options). The verb is implied rather than explicit, but the intent is unmistakable and the tool is distinguishable from submit_enquiry through its focus on field metadata.

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 actionable context: it tells the agent to pass answers to submit_enquiry keyed by field key. This implies the appropriate workflow of consulting fields before submission, but it does not explicitly exclude other uses or contrast with enquiry_describe.

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

submit_enquirySubmit an ENQUIRY to human providers (two steps; not a purchase)AInspect

Submits an enquiry to Business Valuation Cost — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Happy for my details to go to relevant valuation firms and accountants, who'll contact me directly about the fee."

ParametersJSON Schema
NameRequiredDescriptionDefault
answersYesthe person's answers, keyed by field key
consentYestrue only when the person has agreed to: Happy for my details to go to relevant valuation firms and accountants, who'll contact me directly about the fee.
confirmationNothe confirmation token from step 1, after the person has approved the summary

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full burden, and it does so thoroughly. It discloses that this is not a purchase, that a validation summary and confirmation token are returned, that an email with a click-link is sent, and that providers only see the enquiry after the link is clicked. It also states the exact consent wording required.

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 sentence earns its place: it front-loads the non-purchase disclaimer, then clearly separates step 1 and step 2, and embeds the consent quote. The structure makes the stateful two-call flow easy to follow for an agent.

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?

For a stateful two-step submission tool with no output schema and no annotations, the description is remarkably complete. It covers prerequisites, the exact two calls, consent requirements, the confirmation token, and the post-submission email activation step, leaving no critical ambiguity.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3, but the description adds meaningful lifecycle context beyond the schema. It explains that answers must use field keys from enquiry_fields, that consent must be true only after the person agrees, and that confirmation is the token returned in step 1 and used only in step 2.

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 states a specific action (submits an enquiry), a target resource (Business Valuation Cost), and explicitly distinguishes it from a purchase or a guaranteed quote. The title reinforces the two-step nature, and the action is clearly different from the sibling describe/field tools.

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 provides a clear two-step invocation protocol: first call with answers and consent=true, then call again only after the person agrees, including the confirmation token. It does not explicitly contrast against sibling tools, but the workflow guidance is specific enough to prevent misuse.

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. Dates show when Glama detected each change.

  1. 3 tool updates
    • First observedenquiry_describe
    • First observedenquiry_fields
    • First observedsubmit_enquiry

Frequently Asked Questions

Discussions

No comments yet. Be the first to start the discussion!

Related MCP Connectors

Related MCP Servers

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.3/5.0
Disambiguation5/5

Each tool has a clearly distinct role: one explains the overall process, one provides the field schema, and one performs the actual submission. There is no meaningful overlap between them.

Naming Consistency3/5

All names use snake_case and share the 'enquiry' theme, but the pattern is mixed: 'enquiry_describe' and 'enquiry_fields' are noun-led while 'submit_enquiry' is verb-led. The names are readable but not consistently structured.

Tool Count5/5

Three tools is a well-scoped size for a single enquiry workflow: process overview, field schema, and submission. Each tool earns its place with no redundancy or bloat.

Completeness5/5

The set covers the full lifecycle of the enquiry process: understanding what happens, obtaining the required fields, and submitting with consent and confirmation. There are no obvious missing operations for the stated purpose.

Resources