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Bark: Get response

bark_get_response
Read-only

Bark: One contacted lead: customer's name, phone and email, request, estimate sent and status. Returns one contacted lead with the customer's name, phone and email, the original request, the estimate you sent and the current status. Read only. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lead_idYesLead ID from list_leads or list_responses.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so family safety is covered. The description adds a genuine behavioral fact not in the annotations — it requires a Cotlet API key scoped to this app — but otherwise restates the read-only nature without disclosing error behavior or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening fragment ('Bark: One contacted lead: customer's name, phone and email, request, estimate sent and status') is essentially repeated verbatim by the following sentence, so roughly half the text is redundant. The remaining content (read-only, API key) is tight and front-loaded.

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

Completeness4/5

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

With no output schema, the description carries the return-value burden and does enumerate the fields returned, which is the key thing an agent needs here. The auth prerequisite is included; only the relationship to bark_get_lead and ID/format nuance is left for inference.

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?

There is a single parameter with 100% schema description coverage, and the schema already tells the agent where to get lead_id (list_leads or list_responses). The description adds no parameter meaning beyond that, so the baseline 3 applies.

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 states a clear verb and resource: fetch a single contacted lead (response) and it enumerates the returned fields (name, phone, email, request, estimate, status). It does not, however, distinguish this from the very similar sibling bark_get_lead or clarify the response-vs-lead distinction, so an agent must infer the boundary itself.

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?

There is no explicit when-to-use guidance and no comparison with alternatives such as bark_get_lead, bark_list_responses, or bark_list_leads. The only contextual instruction is the API-key prerequisite, which is a prerequisite rather than usage guidance.

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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