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List brain objects

list_graph_objects
Read-only

List objects in the user's graph, newest first, with counts by type. The graph is their personal CRM's object store: person, company, hubspot_contact, linkedin_connection, file, fact, web_link, note, connected spaces, and more. Filter by type to browse one kind ('what files do I have?', 'list my facts'), or omit it to see what the graph holds overall. Use type 'twitter_contact' for saved reciprocal X follows; a twitter_profile alone is public identity and does not establish a mutual follow. Page with offset to read past the newest results. For finding something by name, prefer search_graph_objects.

Input Schema

NameRequiredDescriptionDefault
typeNoOnly objects of this type (e.g. 'fact', 'web_link').
limitNoMax results (default 20, max 50).
offsetNoSkip this many results, for paging past the newest.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / offset
      Added value: +{
      +  "description": "Skip this many results, for paging past the newest.",
      +  "type": "integer"
      +}
  2. First observed

TDQS

A4.6/5.0
Behavior4/5

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

readOnlyHint=true already declares the safety profile, so the description's added value is the ordering guarantee (newest first), counts-by-type in the result, and offset-based paging semantics. These are genuine behavioral traits beyond the annotation, though it says nothing about rate limits, result caps beyond the schema's max, or auth requirements.

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?

Front-loads the core action and ordering in the first sentence, then layers filtering, edge cases, paging, and the alternative tool in a logical order. Slightly long due to the type enumeration and examples, but each sentence carries distinct information.

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

Completeness5/5

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

For a read-only listing tool with annotations covering safety and no output schema, the description supplies everything needed: what is returned (objects plus type counts), ordering, filtering options, paging, and routing to the correct sibling. Nothing material is missing.

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?

Schema coverage is 100%, so the baseline is 3, but the description enriches the 'type' parameter with concrete accepted values (person, company, hubspot_contact, file, fact, web_link, note, connected spaces) and explains offset's paging intent in user terms. This meaningfully exceeds what the one-line schema descriptions convey.

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?

States a specific verb and resource (List graph objects) plus scope details: newest-first ordering and counts by type. It explicitly distinguishes itself from the sibling search_graph_objects by naming it as the tool for name-based lookup.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use branches: filter by type to browse one kind (with quoted user-intent examples), omit it to survey the whole graph, and page with offset to read past the newest. It also names the preferred alternative for finding by name (search_graph_objects) and disambiguates twitter_contact vs twitter_profile.

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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