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Find connection path

find_paths
Read-only

How two objects in the user's graph are connected: the shortest chain of real relationships between them, up to 3 hops, e.g. person -[worked_with]- person -[works_at]- company. Only deliberate relationships count — bulk-import and system-inferred edges are excluded, so a path is evidence. Returns the path as a list of hops, and an EMPTY list when there is no connection: report that honestly, never invent a path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
to_object_idYesWhere the path ends (exact object_id).
from_object_idYesWhere the path starts (exact object_id).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses important behavior: paths are limited to deliberate relationships (excluding bulk-import and system-inferred edges), the maximum length is 3 hops, and an empty list is returned when no connection exists. It also explicitly instructs the agent to report no-connection honestly and never invent a path, which is a valuable guardrail.

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?

The description is information-dense with no redundancy: it packs in scope, an example, an exclusion rule, and return behavior in four sentences. Each sentence earns its place, and the critical constraints (max 3 hops, empty list honesty) are clearly emphasized.

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?

Given the simple 2-parameter schema and no output schema, the description covers what the agent needs to invoke the tool correctly: input semantics, path length, edge inclusion rules, return shape, and the no-connection edge case. The example also clarifies the expected path structure sufficiently for downstream use.

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?

The input schema already fully documents both parameters as exact object_ids with clear descriptions, so schema coverage is 100%. The description adds useful context about graph objects and hops, but it does not add new parameter-level syntax, formats, or constraints beyond what the schema provides.

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 identifies a distinct operation: finding the shortest path between two graph objects using only deliberate relationships, up to 3 hops, with a concrete example. It is specific about the resource and behavior, though it does not explicitly differentiate itself from sibling tools like search_connections or mutual_connections.

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?

The description implies when to use the tool—when checking whether and how two objects are connected—but provides no explicit when-to-use guidance or exclusions. It does not mention sibling alternatives or explain when a different connection-related tool would be preferable.

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools are scoped to a distinct resource and action, and descriptions do a good job separating close pairs like search_connections vs ask_about_connections or get_my_linkedin_posts vs linkedin_analytics. However, the multiple deletion tools (delete_graph_object, delete_graph_objects, purge_graph_object) and the several file-reading tools are easy to confuse without reading the descriptions carefully.

Naming Consistency4/5

The vast majority of tools follow a clear verb_noun pattern such as create_, get_, list_, search_, send_, and delete_. A handful of noun-phrase outliers like linkedin_analytics, mutual_connections, top_message_correspondents, and what_needs_attention break the pattern, so it is highly consistent but not perfect.

Tool Count1/5

64 tools is an extreme count, far beyond the typical well-scoped 3-15 tool range and even beyond the 25+ threshold for 'too many'. While the server covers many integrations, this many tools creates a heavy navigation burden and would be better split into focused servers per domain.

Completeness3/5

Core graph/CRM operations and read-side integration coverage are strong, with search, get, list, and create tools across most domains. However, there are notable dead ends: no delete_calendar_event, no tracker management beyond create_tracker, and set_follow_up explicitly lacks a read-back query tool, so some natural user requests cannot be completed through the toolset.