Skip to main content
Glama

add_lead

Add a new lead to the pipeline by providing company name, contact info, notes, and estimated value, ensuring accurate tracking and revenue management in Google Sheets.

Instructions

Add a new lead to the pipeline

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
companyNameYes
contactNameNo
contactEmailNo
estimatedValueNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.0

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only restates that a lead is added; it does not disclose side effects, idempotency, validation requirements, or whether the operation can fail. This is a minimal description that goes no further than the tool's name.

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?

The description is a single concise sentence with no filler. It is front-loaded with the action and resource, but its brevity is also the reason other dimensions lack substance.

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

Completeness1/5

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

For a 5-parameter tool with no schema descriptions, no output schema, and no annotations, a one-line statement is highly incomplete. The agent is left without context about required fields, expected behavior, or how this fits compared with sibling tools like update_lead.

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

Parameters1/5

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

The schema description coverage is 0%, and the description provides no parameter information. With 5 parameters, including required companyName, the description should compensate for the low schema coverage but does not, so parameters carry no additional meaning.

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 'Add a new lead' and names the pipeline as the target context. It is specific enough to distinguish from siblings like update_lead, though it does not explicitly contrast 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 guidance is given on when to use this tool versus update_lead or other sibling tools. The pipeline mention implies a context, but there is no explicit when-to-use or when-not-to-use guidance, leaving the agent to infer.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/PromptishOperations/ziggy-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server