Skip to main content
Glama

Tendeck: free real estate CRM

tendeck_help

Answer any how-to or support question about Tendeck (sign-in, password, billing, connecting ChatGPT/Claude, importing, texting, privacy). Call this BEFORE telling the user you don't know.

Input Schema

NameRequiredDescriptionDefault
topicNoWhat the human asked, in their words, e.g. 'how do I sign in' or 'connect Claude'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It implies a read-only knowledge lookup with no side effects, but never states the return format (free-text answer vs. article link), whether it needs authentication, or how it behaves when no answer exists — meaningful gaps for a tool the agent is told to call as a last resort before admitting ignorance.

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?

Two tight sentences: the capability and its scope come first, followed immediately by the escalation instruction. Every clause earns its place, and the parenthetical list is compact rather than padded.

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 one-optional-parameter, no-output-schema tool this is nearly sufficient — the agent knows what to send and when. The remaining gap is what comes back and how to interpret an empty or low-confidence answer, which matters because the tool is positioned as the fallback before declaring ignorance.

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 coverage is 100% and the single optional `topic` property is already documented with an example, so the schema does the work. The description's topic enumeration reinforces what belongs in that field but adds no syntax, phrasing, or granularity guidance beyond the schema text.

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 ("Answer any how-to or support question") and enumerates the covered domains (sign-in, password, billing, connecting ChatGPT/Claude, importing, texting, privacy), so an agent knows the tool is a support-knowledge lookup. It does not explicitly contrast with siblings like describe_product or get_free_limits, which could plausibly answer adjacent questions such as pricing or product capability.

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?

"Call this BEFORE telling the user you don't know" is an explicit, actionable trigger that tells the agent exactly when to reach for this tool as a fallback. However, it offers no exclusions or routing guidance relative to the sibling tools, leaving overlap with describe_product and get_free_limits unresolved.

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