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Costory: Your Finops MCP

by io.costory.app-api
OverviewDiscussionsAdmin

list_reports

Read-only

List compact report summaries for the organization: id, name, kind (SCHEDULED / ONE_TIME), status, nextRunDate, destination counts, and lastRunHealth. Use when the user asks which reports exist or needs a report id. Includes on-demand reports. Optional filters: kind (SCHEDULED / ONE_TIME), teamId (reports scoped to one team), and includeArchived (default false). Read-only. EXAMPLE: { kind: "SCHEDULED" }

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "context": "<context>"
    },
    "name": "list_reports"
  }
}

Input Schema

NameRequiredDescriptionDefault
kindNoFilter by cadence: SCHEDULED or ONE_TIME.
slugNoOrganization slug. Omit to auto-detect from your account (fails if you belong to multiple orgs).
teamIdNoFilter by owning team id.
contextYesA few words on why you are calling this tool, for the server developer's analytics. Describe people and things by role, such as "a customer". Do not quote the user or include names, emails, or other personal details.
llm_modelNoThe model identifier you are running as, for example "claude-opus-4-8" or "gpt-5.2". Pass "unknown" if you are not certain. Recorded for the server developer's analytics.
conversation_idNoThe conversation_id this server returned earlier in this conversation, unchanged, including after later user messages. Omit it if you have none. Recorded for the server developer's analytics.
includeArchivedNoInclude archived reports (default false).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / context / description
      Previous value: -"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""New value: +"A few words on why you are calling this tool, for the server developer's analytics. Describe people and things by role, such as \"a customer\". Do not quote the user or include names, emails, or other personal details."
    • changedInput schema / required
      Previous value: -[
-  "context",
-  "llm_model"
-]New value: +[
+  "context"
+]
  2. Changed4 schema fields changed
    • addedInput schema / properties / context
      Added value: +{
+  "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
+  "type": "string"
+}
    • addedInput schema / properties / conversation_id
      Added value: +{
+  "description": "The conversation_id this server returned earlier in this conversation, unchanged, including after later user messages. Omit it if you have none. Recorded for the server developer's analytics.",
+  "type": "string"
+}
    • addedInput schema / properties / llm_model
      Added value: +{
+  "description": "The model identifier you are running as, for example \"claude-opus-4-8\" or \"gpt-5.2\". Pass \"unknown\" if you are not certain. Recorded for the server developer's analytics.",
+  "type": "string"
+}
    • addedInput schema / required
      Added value: +[
+  "context",
+  "llm_model"
+]
  3. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description's 'Read-only' is redundant; however it earns credit elsewhere by disclosing that on-demand (ONE_TIME) reports are included and that archived reports are hidden by default, both of which are scope behaviors an agent could otherwise get wrong. It does not describe result volume or ordering, which is the remaining behavioral gap.

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

Conciseness4/5

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

The description is front-loaded with the returned fields, then usage, then filters, then a compact example — a sensible information hierarchy with no filler sentences. Minor waste comes from repeating the SCHEDULED/ONE_TIME enum twice in a single sentence when the schema already enumerates it.

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?

There is no output schema, so the description correctly absorbs the burden of explaining return shape by listing every summary field. Given seven parameters, one required, all documented at 100% in the schema, the remaining omissions (pagination, ordering) are minor for a compact list tool.

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?

With 100% schema coverage the baseline is 3, but the description adds real value: it discloses that archived reports are excluded unless includeArchived is set (default false), that teamId scopes to one team's reports, and it provides a worked example of filter composition ({ kind: "SCHEDULED" }). The enum values are restated redundantly since the schema already enumerates them.

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 ('List compact report summaries') and immediately enumerates the fields returned (id, name, kind, status, nextRunDate, destination counts, lastRunHealth). The 'compact summaries' phrasing signals this is the lightweight enumeration tool rather than the report-creation or archival siblings, so an agent can distinguish it without opening the schema.

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

Usage Guidelines4/5

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

Explicit invocation triggers are given: 'Use when the user asks which reports exist or needs a report id,' which also documents the common id-handoff pattern to a downstream report tool. It lacks any when-not-to-use or named alternative, but the sibling set contains no competing report-listing tool, so the practical gap is small.

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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