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Blue Dot Brdg (BLDT)

request_exploratory_call

Ask Blue Dot Brdg for an exploratory call on the user's behalf. Only use this when the user has agreed to share these details with Blue Dot Brdg to arrange the call, and set user_consented to true. The team replies by email; nothing is booked or confirmed by this request.

Input Schema

NameRequiredDescriptionDefault
nameYes
needYesWhat the user wants help with.
emailYes
phoneNo
companyYes
serviceNoOptional service id from list_services.
user_consentedYesTrue only if the user agreed to share these details.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

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 full burden and discloses meaningful behavior: the request goes to an external team, the team responds by email, and nothing is booked or confirmed. It does not cover data retention or error behavior, but it gives the agent the key side-effect and response expectations.

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 three tight sentences with no wasted wording. It front-loads the action, then gives the consent condition and the response behavior.

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?

For a seven-parameter submission tool with no annotations and no output schema, the description covers purpose, consent prerequisite, and what happens after the request. The main remaining gap is detailed parameter semantics, but the agent has enough context to understand the tool's overall behavior.

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

Parameters2/5

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

Schema description coverage is only 43%, with seven parameters, and the description mostly repeats the user_consented guidance already present in the schema. It does not explain the roles of name, company, email, phone, or service beyond what little is in the schema, so it does not compensate for the low coverage.

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 uses a specific verb and resource: requesting an exploratory call from Blue Dot Brdg on the user's behalf. It is clearly distinct from the sibling service-listing tools because it submits the user's details to a team rather than reading service data.

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?

It gives an explicit gating condition: only use when the user has agreed to share details with Blue Dot Brdg and user_consented must be true. The description also sets expectations that this is not a booking. It does not name alternative tools, but the when-to-use and consent prerequisite are clear.

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

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