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Show product grid

show_products
Read-onlyIdempotent

Shows up to 8 products from search_catalog in an interactive grid where the buyer can see photos and prices and pick the products they want proofs for. Pass logo_id once a logo is uploaded so a pick can go straight to a proof.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "product_ids": "<product_ids>"
    },
    "name": "show_products"
  }
}

Input Schema

NameRequiredDescriptionDefault
logo_idNo
quantityNo
product_idsYes
in_hand_dateNo
budget_per_unitNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so safety is covered. The description adds genuinely new behavior beyond the schema: this renders an interactive grid for a buyer to review photos/prices and make picks, and logo_id unlocks a proof-ready path. It does not explain what happens when a pick is made or how the grid behaves on re-invocation, leaving some behavior implied.

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 tight sentences, front-loaded with the action and the data source, followed by the optional logo_id workflow hint. The clause about buyers seeing photos and prices is slightly decorative but justifies the tool's interactive nature, so little waste overall.

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

Completeness2/5

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

This is a 5-parameter tool with zero schema description coverage, no output schema, and no annotation detail on rendering constraints, yet three parameters (quantity, in_hand_date, budget_per_unit) are never addressed. For a tool whose inputs likely filter or price the returned grid, that is a substantial omission an agent cannot recover from the schema.

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

Parameters2/5

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

Schema description coverage is 0% across 5 parameters, so the description must carry the meaning, yet it only explains logo_id ('pass once a logo is uploaded') and implies product_ids must come from search_catalog. quantity, in_hand_date and budget_per_unit are never mentioned, so their purpose and units are undocumented anywhere.

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?

The description names a specific verb and resource ('Shows ... products ... in an interactive grid') and anchors it to its source tool, search_catalog, plus the downstream goal of picking products for proofs. An agent can tell it apart from search_catalog (which finds products) and generate_proof (which uses the picks) without opening any schema.

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 clear sequencing: products come from search_catalog, and logo_id should be passed once a logo is uploaded so a pick can go straight to a proof. It does not state when NOT to use it or what to do if the buyer wants more than 8 products, but the workflow context is explicit enough to place the call correctly among siblings.

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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