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Get Verified Testimonials

get_testimonials
Read-only

Retrieves verified client reviews, leadership testimonials, and stakeholder endorsements with author names, roles, and review quotes.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_testimonials"
  }
}

Input Schema

NameRequiredDescriptionDefault
platformNoOptional platform filter (e.g., website, linkedin) to filter testimonials.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds value by disclosing what the records contain (author names, roles, quotes), which matters since there is no output schema. It says nothing about result volume, pagination, or what happens when the platform filter matches nothing.

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 with no filler; the verb comes first and the content enumeration follows. It could carry one more sentence of routing or behavior without becoming bloated, but nothing present is wasted.

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 read-only, zero-required-parameter tool with full schema coverage, the description covers purpose and return content adequately. The absence of an output schema is partly offset by the field enumeration, though the empty-result case is unaddressed.

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?

Only one optional parameter and the schema describes it at 100% coverage, including example values (website, linkedin). The description adds no semantics about the filter beyond the schema, so the baseline of 3 applies.

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?

States a specific verb and resource — retrieving testimonials — and enumerates the content types (client reviews, leadership testimonials, stakeholder endorsements). It is clearly distinguishable from siblings like get_case_study or get_portfolio, though it never explicitly names a boundary with them.

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?

No when-to-use guidance, no exclusions, no alternatives named. The agent must infer from the tool name alone whether to pick this or get_case_study when asked for social proof.

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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