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pylon_get_contacts

Retrieve customer contacts from Pylon with details such as name, email, and company. Optionally filter by search or limit results.

Instructions

Get customer contacts from Pylon. Returns contact details like name, email, and company.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoSearch contacts by name, email, or company
limitNoMax results to return
Behavior3/5

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

With no annotations, the description carries the burden. It correctly implies it is a read operation (get contacts), but lacks details such as default behavior, pagination, or error states. The description is basic but not contradictory.

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 concise and front-loaded, consisting of two short sentences without extraneous information. It efficiently conveys the tool's purpose and output.

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

Completeness3/5

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

Given the tool's simplicity (two optional params, no output schema), the description is adequate but incomplete. It misses context about sibling differentiation and default behavior, but covers basic functionality.

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% with clear parameter descriptions. The description adds minimal value, only confirming that returned details include name, email, and company, which aligns with the search parameter description.

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 it retrieves customer contacts from Pylon, specifying returned fields. However, it does not distinguish from the sibling tool pylon_search_contacts, which likely searches contacts. The scope (all contacts vs filtered) is ambiguous.

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 on when to use this tool versus alternatives like pylon_search_contacts. No mention of prerequisites or typical scenarios. The description is purely declarative without context.

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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