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Petpooja MCP Server and API by Cotlet

List low stock in Petpooja

petpooja_list_low_stock
Read-onlyIdempotent

List low stock in the user's own Petpooja account from ChatGPT, Claude or any AI agent. Returns how to do it in Petpooja step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Petpooja Cloud Browser. Petpooja's official API: Petpooja publishes no API documentation or API keys page for restaurants (checked 31 Oct 2026).

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": "petpooja_list_low_stock"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely non-obvious behavior beyond that: the tool opens nothing itself, it emits procedural steps, and it exists because Petpooja publishes no API keys or docs for restaurants — which explains why browser automation is the required follow-up.

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?

Two functional sentences are front-loaded and carry the workflow and constraint, with no filler. The trailing sentence about API documentation is slightly awkward as an appended justification, but it earns its place by explaining the browser-automation requirement.

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 zero-parameter, read-only, no-output-schema tool, the description supplies the essential missing pieces: what is returned (procedural steps) and what to do next (cotlet_browser_*). Minor gaps remain, such as prerequisites like the user having an active Petpooja Cloud Browser session, but nothing critical to correct invocation is absent.

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

Parameters4/5

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

The tool takes no parameters, so there is no argument semantics to explain and the no-param baseline applies. The description correctly spends no words on inputs.

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 names a specific verb and resource (list low stock in Petpooja) and immediately reframes what the tool actually returns: step-by-step instructions rather than stock data. That self-correction resolves the ambiguity an agent would otherwise hit from the name alone, though the opening phrasing briefly sets the wrong expectation of live inventory output.

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?

It gives a clear operating workflow: call this to get the screens/buttons/fields, then execute them with the cotlet_browser_* tools in the user's Petpooja Cloud Browser. It does not explicitly distinguish itself from neighboring guide-style tools, but the resource scope makes the intended task unambiguous.

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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