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commsharbor

commsharbor_preference_get

Read preference through a signed capability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesSigned preference token

Schema Changelog

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

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries full behavioral burden. 'Read' inplies a non-mutating operation but that is already inferable from the name; the signed-capability detail largely repeats the schema's token description. It does not disclose behavior for invalid or expired tokens, response shape, or any other operational traits.

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?

Six words, front-loaded, and no extraneous content. Every word earns its place, and the core mechanism is stated immediately.

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?

For a one-parameter read operation, the description is minimally viable: it tells the agent what to pass and what action is performed. However, it does not explain how to obtain the token, what a preference represents, or what the agent should expect in response, so an unfamiliar agent would still need to infer several things.

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%, so the single token parameter is already documented as 'Signed preference token'. The description adds only the phrase 'signed capability', which does not materially extend the schema's meaning.

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?

Description states a specific verb (Read) and resource (preference), plus the auth mechanism (signed capability). It is distinct enough from sibling preference_token_create and preference_unsubscribe, although it does not explicitly contrast with them.

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 prefer this tool over siblings like commsharbor_preference_token_create or commsharbor_preference_unsubscribe. It implies a signed token is needed but does not explain where that token comes from or when this tool should be used.

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

C2.6/5.0
Disambiguation2/5

Most resource CRUD sets are distinct, but the server duplicates entire CRM activity/task tool groups under crm_* and platform_crm_* with identical descriptions, so an agent cannot tell which set to call. Additional overlap exists around identity/context (me, context, platform_context, organizations) and exports (contacts_export vs data_export_create).

Naming Consistency3/5

Names generally follow commsharbor_<resource>_<action>, but list endpoints are split between plural nouns (audiences, webhooks) and *_list suffixes (crm_activities_list), and some tools use bare nouns or verbs (health, me, context, logout). The mixed conventions are readable but not fully predictable.

Tool Count1/5

141 tools is far beyond a coherent surface for an agent to select from. Even with a broad CRM/email platform scope, the set should be consolidated, namespaced more aggressively, or split into multiple focused servers.

Completeness4/5

Coverage is broad: campaigns, templates, audiences, CRM objects, imports/exports, auth, billing, domains, webhooks, and suppressions all have lifecycle tools. Gaps like suppression deletion, webhook update, and a non-platform leads group are minor relative to the overall surface, though the duplicate platform sets muddy completeness.

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