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Glama

List an agent's connections (channels)

list_agent_connections

See every channel attached to this agent: widgets, telegram, phone, presentations, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Schema Changelog

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

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It clearly indicates this is a read-only listing operation ('See every channel'), which is a safe assumption. However, it does not disclose any edge cases, such as behavior when the agent has no connections, whether the response includes status or configuration details, or if there are any permission requirements. The phrase 'every channel' implies completeness, which is useful, but other behavioral aspects remain unspoken.

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 a single, front-loaded sentence that immediately states the primary function and gives concrete examples of channel types. There is no extraneous information, and the tone is direct and actionable. The structure is ideal for quick parsing by an agent.

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?

For a tool with one parameter and no output schema, the description is too sparse. It does not explain the meaning of the 'id' parameter, nor does it describe the structure or content of the returned list. Even though this is a simple listing operation, an agent would benefit from knowing whether the response includes channel names, statuses, or configuration details. The absence of this information makes the tool harder to use correctly without external knowledge.

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

Parameters1/5

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

The schema has one required parameter 'id' with no description, and the schema description coverage is 0%. The tool description mentions 'this agent' but never explicitly links that to the 'id' parameter. An agent is left to infer that 'id' must be the agent's identifier, which is risky given the ambiguity. Since the description does not compensate for the missing schema documentation, it fails to add the meaning required for a parameter with nonexistent schema coverage.

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 clearly states the action ('See every channel') and the resource ('attached to this agent'), and lists concrete channel types (widgets, telegram, phone, presentations). This distinguishes it from connection mutation tools like connect_telegram_bot or pause_channel, which perform different operations. The tool's name and title also reinforce the purpose without ambiguity.

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

Usage Guidelines3/5

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

The description implies its use case: if you want to see all channels for an agent, this is the tool. However, it does not explicitly mention alternatives or when not to use it. For instance, there is no guidance that get_telegram_bot_info is for a specific channel's details, or that set_agent_contact_channels modifies them. The context is inferable but not stated, so it falls short of the explicit guidance expected for a 4.

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

B3.1/5.0
Disambiguation2/5

Despite consistently detailed descriptions, several tool pairs have unclear boundaries: `get_subscription_limits` and `get_agent_plan_limits` describe essentially the same agent-slot check, `crm_get_conversation` and `crm_communication_thread` both claim to return the full message thread, and `get_credit_usage_by_agent` vs `get_credit_usage_for_agent` differ only by preposition. At 149 tools, an agent will regularly misselect between these near-duplicates.

Naming Consistency4/5

The dominant pattern is verb_noun with domain prefixes (`crm_*`, `sdr_*`) and a consistent `preview_*` family that maps cleanly to destructive/expensive actions. Deviations are minor but real: CRM deletes use the inverted `delete_crm_*` form while other CRM ops use `crm_*`, and credit-usage tools mix `by_agent`/`for_agent` prepositions.

Tool Count1/5

149 tools is nearly three times the 50+ threshold the rubric treats as extreme, even though the platform genuinely spans agents, campaigns, audiences, CRM, SDR, billing, and connections. Many could be consolidated without losing capability — e.g. the 11 balance/credit-usage tools, the two LinkedIn-account listers, and the 15+ preview variants.

Completeness5/5

The surface is remarkably complete: full CRUD/lifecycle coverage for agents, campaigns, audiences, CRM leads/stages, and SDR searches, plus billing, analytics, and connection management. Destructive or costly operations all have preview/approval counterparts, so there are no dead ends. If anything the risk is over-coverage rather than gaps.

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