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Bluebird Technologies

How to get in touch

get_contact
Read-onlyIdempotent

How to start a conversation with Bluebird Technologies: the email address and a link to the enquiry form with a topic chosen (software, ai, readiness, roadmap, venture, za, partners, other). It sends nothing; the user submits the form themselves.

Input Schema

NameRequiredDescriptionDefault
topicNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description's key added value is confirming that no message is transmitted and that the user completes the form manually — exactly the side-effect question an agent would have. It also discloses the return shape (email address plus form link). It adds no rate-limit or fallback context, so it falls short of exhaustive.

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

Conciseness4/5

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

A single front-loaded sentence leads with the purpose and ends with the critical no-send caveat, which is good ordering. The parenthetical enumeration of all eight topic values duplicates the schema and adds bulk without adding meaning.

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 zero-required-parameter lookup with no output schema and full annotation coverage, the description supplies what an agent needs: what comes back, that nothing is sent, and why the topic exists. The only meaningful gap is the unexplained enum value 'za'.

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?

With 0% schema description coverage, the description does add the one genuinely missing piece: the topic is chosen for the enquiry form, which explains what the parameter is for. However, it merely re-lists the enum values already in the schema and leaves opaque values like 'za' unexplained, so an agent cannot confidently pick a topic.

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 states concretely what the tool yields: an email address and a link to the enquiry form with a chosen topic. That is specific enough for an agent to know it is a static contact-info lookup rather than a messaging tool. It does not differentiate itself from the generic siblings (fetch, search, list_pages), but its purpose is unambiguous on its own.

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 opening phrase 'How to start a conversation with Bluebird Technologies' sets the situation in which to call it, and 'It sends nothing; the user submits the form themselves' tells the agent what to do afterwards rather than attempting delivery. There is no explicit exclusion or reference to an alternative tool, which keeps it short of a 5.

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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