Server Details
Conveyancing Fees Australia: the site's own MCP server — enquiry (enquiry = a human handoff, not...
- Status
- Healthy
- Uptime
- 99.9% over 61 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 3 tools
Each tool has a clearly distinct role: enquiry_describe explains the process, enquiry_fields enumerates the form schema, and submit_enquiry performs the two-step submission. There is no overlap in purpose, so an agent can select confidently.
All names are snake_case and share the 'enquiry' root, which is readable and predictable. However two follow a noun-first pattern (enquiry_describe, enquiry_fields) while the action tool is verb-first (submit_enquiry), a minor inconsistency.
Three tools is on the thin side but well-scoped for a single-purpose enquiry server: describe, schema, and submit. Nothing redundant or missing in count terms.
The surface fully covers the enquiry lifecycle including the two-step consent flow with a confirmation token, which is the domain's core requirement. There is no tool to check submission status or withdraw an enquiry, but the email-link mechanism handles that externally.
Available Tools
3 toolsenquiry_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 Conveyancing Fees Australia: 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.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the non-transactional nature ('Nothing is bought, ordered or paid'), the free nature, the lack of guarantee ('no quote is guaranteed'), and what the tool returns (who receives details, consent wording, confirmation method). This is thorough and accurate.
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 three sentences, front-loaded with a clear directive ('Read first'), and every clause contributes meaningful information. There is no filler or repetition.
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 zero-parameter informational tool with no output schema, the description is complete: it states what the tool does, what it does not do, what the user should expect, and what content is returned. No critical gaps remain.
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 there is nothing for the description to add beyond the schema. The baseline of 4 applies because parameter semantics are not a concern.
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 ('States plainly') and resource ('what submit_enquiry does on Conveyancing Fees Australia'), and makes clear this tool is explanatory, not transactional. It differentiates itself from submit_enquiry by emphasizing that nothing is bought, ordered, or paid.
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?
'Read first' gives explicit timing guidance: this should be used before taking action, likely before submit_enquiry. It does not mention enquiry_fields or give explicit 'when not to use' alternatives, but the context is clear enough.
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 Conveyancing Fees Australia 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.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full behavioral burden. It describes what the tool returns and the structure of that data, and it clearly indicates a read-only discovery operation. However, it does not mention response format, error behavior, or that the tool takes no arguments, leaving some behavior implicit.
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 sentences long, front-loaded with the exact contents of the response, and ends with a useful routing hint for submit_enquiry. Every sentence earns its place, and the title reinforces the purpose without redundancy.
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 has no parameters and no output schema, the description provides enough context: what the tool returns, the field attributes, and how to use the result with submit_enquiry. It could mention the absence of required arguments or clarify the difference from enquiry_describe, but these are minor gaps for such a simple metadata 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, and the schema already documents that with an empty properties object. The baseline for zero-parameter tools is 4, and the description adds no contradictory or missing parameter information. It appropriately focuses on the response contents instead.
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 identifies the tool's resource: every field of the Conveyancing Fees Australia enquiry, including key, label, type, required status, help text, and allowed options. It distinguishes itself from the sibling submit_enquiry by explaining that answers should be passed to that tool keyed by these field keys, though it does not explicitly contrast with enquiry_describe.
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 gives practical usage context by stating that answers should be passed to submit_enquiry using the field keys returned here. This implies the tool should be used to discover the enquiry schema before submission, though it does not explicitly state when to choose this over 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 Conveyancing Fees Australia — 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: "Send my contact details to up to three relevant conveyancers or property solicitors in my state, chosen by Conveyancing Fees Australia, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."
| Name | Required | Description | Default |
|---|---|---|---|
| answers | Yes | the person's answers, keyed by field key | |
| consent | Yes | true only when the person has agreed to: Send my contact details to up to three relevant conveyancers or property solicitors in my state, chosen by Conveyancing Fees Australia, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them. | |
| confirmation | No | the confirmation token from step 1, after the person has approved the summary |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and does: it discloses the validation-only nature of step 1, the double-submit requirement, the email-link verification before any provider sees the enquiry, and the exact consent semantics including downstream data sharing and opt-out. This is unusually rich behavioral context for a mutation tool.
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?
Front-loaded and well sequenced as Step 1/Step 2, but the consent text is quoted verbatim and duplicates the consent parameter description in the schema, adding bulk without new information.
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 nested-object, two-phase submission tool with no output schema and no annotations, the description covers purpose, gating, token lifecycle, and consent scope completely — an agent could execute both calls correctly from this text alone.
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 the baseline is 3; the description goes further by tying 'answers' to field keys sourced from enquiry_fields, spelling out the consent=true condition, and explaining that 'confirmation' is the token returned from step 1 after approval.
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 ('Submits an enquiry to Conveyancing Fees Australia') and immediately bounds it with 'NOT a purchase, NOT a guaranteed quote', which distinguishes it from the informational siblings enquiry_describe and enquiry_fields.
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 scripts the two-step flow: step 1 with answers + consent=true returns a summary and token, step 2 only 'if the person agrees' with the token. The gating condition and the alternatives (call vs. don't call again) are stated, not implied.
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.
1 tool update
- Changed
submit_enquiry1 field changed- changed
Input schema / properties / consent / descriptionPrevious value: -"true only when the person has agreed to: Happy for my details to go to relevant licensed conveyancers or property solicitors in my state, who'll quote me directly."New value: +"true only when the person has agreed to: Send my contact details to up to three relevant conveyancers or property solicitors in my state, chosen by Conveyancing Fees Australia, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."
3 tool updates
- First observed
enquiry_describe - First observed
enquiry_fields - First observed
submit_enquiry
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