Skip to main content
Glama

Estimate your audience

estimate_audience
Read-only

Estimates how many decision-makers fit a business's offer.

Returns the roles, places, industries and company sizes searched; the total count; five real example people (names blurred, companies unnamed) with a fit score; the buying signals Deberli tracks for that market; and a link that opens the full list in Deberli. Use it when the user asks who to sell to, how big their market is, or where to find customers or leads. Read-only. Takes 30-90 seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
briefNoOne or two sentences: what the business sells and to whom. Give this or website.
marketNoCountry or region the business sells in, e.g. United Kingdom. Without it the count covers every country.
websiteNoThe business's website, e.g. acme.com. Give this or brief.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and idempotentHint=false, so 'Read-only' merely repeats structured data. The genuinely additive disclosures are the 30-90 second runtime and the preview of what the response contains (counts, example people, buying signals), which help an agent set expectations.

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?

Purpose is front-loaded in the first sentence, with usage and behavioral notes following. The middle sentence enumerating return contents is fairly long and partly duplicates the output schema, but overall it is well-organized and free of filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so the description needn't detail return values, and annotations cover the safety profile. Combined with explicit usage triggers and latency expectations, nothing needed to invoke this tool correctly is missing.

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%, and the schema already explains brief, market, and website including the 'give this or X' alternatives. The description adds no syntax or format detail beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ('Estimates how many decision-makers fit a business's offer'), which is unambiguous and self-contained. With no siblings, no differentiation is needed, and the purpose is clear 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 Guidelines5/5

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

Explicitly names the triggering user intents: 'who to sell to, how big their market is, or where to find customers or leads.' No alternatives exist to route against, so this fully covers the guidance an agent needs.

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.

Resources