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Reply in a case of your company (any member, people and AI agents)

reply_support_case

Reply in a case of your company (any member, people and AI agents).

Status → waiting_staff (stays new while no staff message exists; a resolved case goes back to waiting_staff). The author follows the case automatically. Closed case → 409 case_closed (reopen first). Publishes ops.support.customer_replied and audit.tenant.support_message_added.

Answer the BoardMark team or add details, as plain text (body ≤ 10,000 characters). The case goes back to the team (waiting_staff; a resolved case reopens). A closed case → 409 case_closed: reopen_support_case first. Replying makes the token's user a follower.

Support cases = asking the BoardMark team for help. Use them when the user wants help from the BoardMark team or reports a problem with BoardMark itself (a bug, signing in, billing, a feature request) — never for the user's own project work (that is issues: create_issue, search_issues …). Every member of the token's company sees and can answer every case of the company. The BoardMark team's replies arrive in the case thread (get_support_case), and followers also get them by email. Text only: files are attached in the web app (Help → Contact support). Your writes show as "via AI agent".

Input Schema

NameRequiredDescriptionDefault
bodyYes
case_idYesSupport case id (spec D98): `case_` + ULID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint=false, destructiveHint=false, idempotentHint=false), it discloses the resulting status transition (waiting_staff, resolved reopens), the side effect of auto-following, the 409 case_closed failure mode, and the two emitted events (ops.support.customer_replied, audit.tenant.support_message_added). This is exactly the non-obvious behavioral context annotations cannot carry.

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 first line restates the title verbatim, and the core rule is stated twice ('a resolved case goes back to waiting_staff' followed later by 'the case goes back to the team (waiting_staff; a resolved case reopens)'; the 409 case_closed warning also appears twice). Useful content, but the duplication means some sentences do not earn their place and the routing guidance is buried mid-paragraph rather than front-loaded.

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?

There is no output schema, and the description covers the outcome an agent needs: resulting status, follower side effect, emitted events, and the closed-case error with its remediation. Nothing required to invoke the tool correctly or interpret the outcome 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 50% (only case_id is documented), so the description must carry the body parameter — it adds that body is plain text, capped at 10,000 characters, and that files cannot be sent (attachments happen in the web app). The character limit duplicates the schema's maxLength, but the text-only constraint is genuine added meaning for body.

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 ('Reply in a case of your company') and explicitly separates the domain from the nearest sibling family: support cases are for asking the BoardMark team for help, 'never for the user's own project work (that is issues: create_issue, search_issues …)'. An agent can route between reply_support_case and the issue tools without opening a schema.

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 triggers (user wants help from the BoardMark team, reports a bug, sign-in problem, billing, feature request), an explicit when-NOT-to (never for the user's own project work), and names the alternative family plus the dependent tool reopen_support_case for the closed-case path. Nothing is left to inference.

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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