Skip to main content
Glama

SynergyBoat

request_demo

Request a SynergyBoat demo (name, email, consent; optional company, context, and AI use case of interest). Creates a lead the team follows up on. Requires explicit user consent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesFull name of the person requesting the demo.
emailYesWork email used for follow-up.
companyNoOptional company name.
consentYesMust be true to confirm consent to submit lead details.
contextNoOptional context on the workflow/bottleneck to discuss in the demo.
useCaseNoOptional AI use case of interest (slug or title).

TDQS

A3.6/5.0
Behavior4/5

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

The description adds meaningful behavioral context beyond the annotations: it explicitly requires user consent and states that a lead is created for follow-up. This goes beyond the raw mutation flags in the annotations. No contradictions found.

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 concise and well-structured: a single sentence stating the action and required fields, followed by a short sentence on the outcome and consent requirement. No wasted words, information is front-loaded.

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 simple form submission tool, the description covers the essential aspects: purpose, required fields, consent requirement, and follow-up behavior. There is no output schema, but return values are not mentioned; however, this is acceptable for such a straightforward tool. The main gap is the lack of differentiation from submit_lead, but that is more of a usage guideline issue.

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?

Schema description coverage is 100%, so the input schema already fully documents all six parameters. The description simplifies rather than adds new meaning; it just lists the fields. Baseline 3 is appropriate since no additional semantic depth is provided.

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 states the action ('Request a SynergyBoat demo') and lists the key fields involved, making the tool's purpose evident. However, it does not explicitly distinguish this from the sibling tool 'submit_lead', which also appears to create leads, slightly reducing clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'submit_lead'. It only mentions that it creates a lead, which is a consequence, not usage context. There are no exclusions or alternative recommendations.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation4/5

Most tools are clearly distinct: getters for individual items, listers for collections, and lead forms. The only potential confusion is between request_demo and submit_lead, but their descriptions clarify that one is for demo requests and the other for general enquiries.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (get_*, list_*, request_*, submit_*), with snake_case throughout. No mixed conventions or vague verbs.

Tool Count5/5

With 9 tools, the surface is appropriately scoped for a company information and lead generation server. Each tool serves a clear purpose without unnecessary bloat.

Completeness4/5

The server covers the main domain areas: company overview, services, case studies, team, AI use cases, and lead generation. However, list_ai_use_cases only provides an overview with no getter for full AI use case details, which is a minor gap.

Resources