Skip to main content
Glama

Costory: Your Finops MCP

list_reports

Read-only

List compact report summaries for the organization: id, name, kind (SCHEDULED / ONE_TIME), status, nextRunDate, destination counts, and lastRunHealth. 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" }

Input Schema

TableJSON 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.
includeArchivedNoInclude archived reports (default false).

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description goes beyond by specifying the returned fields (id, name, kind, status, nextRunDate, destination counts, lastRunHealth), confirming on-demand reports are included, and documenting the includeArchived default. It does not address pagination or permission requirements, but given the strong annotations this is sufficient.

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 compact and front-loaded with the essential purpose, followed by a field list, filters, a short read-only note, and an example. Every sentence contributes; there is no filler.

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?

For a list operation with no required parameters and no output schema, the description covers the return fields and filters. It does not mention pagination or potential size limits, but the tool's simplicity and the provided field list make it complete enough for an agent to use correctly.

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?

The input schema has 100% coverage with descriptions for all four parameters, so the baseline is 3. The description adds a concrete usage example ({ kind: 'SCHEDULED' }) and restates filter semantics, which slightly enhances the parameter understanding beyond the schema.

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 opens with a specific verb+resource: 'List compact report summaries.' It defines the output fields and states the scope ('for the organization'), clearly distinguishing it from sibling report-execution tools like get_report_execution, run_report_now, and update_report. It also clarifies inclusion of on-demand reports.

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?

The description implicitly establishes when to use this tool (when you need a compact overview of reports) and lists available filters, but it does not explicitly mention when not to use it or point to alternatives (e.g., use get_report_execution for full details). The read-only hint is clear context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation4/5

Tools are organized by resource (alerts, dashboards, reports, events, virtual dimensions) with distinct actions, so most are clearly separable. The main confusion risks are the three report-delivery side-effect tools (run_report_now, retry_report_execution, transfer_report_execution) and the generic get that spans five resource types, though detailed descriptions mitigate these.

Naming Consistency4/5

The dominant verb_noun pattern (create_*, list_*, update_*, preview_*, get_*) is consistent and predictable across the set. Deviations like bare verbs query/search/get and the noun-only virtual_dimension_overlap_matrix are readable but break the otherwise uniform convention.

Tool Count3/5

44 tools is heavy and exceeds the comfortable range, but the server covers a genuinely broad FinOps platform spanning querying, dashboards, reports, alerts, events, virtual dimensions, docs, skills, and suggestions. Each tool has a distinct job, though the sheer count makes agent navigation harder.

Completeness3/5

Core workflows are well covered: query → dashboard/report/alert/event, plus a full virtual-dimension draft lifecycle. Notable gaps include alerts being create-only with no update/delete, no deletes for dashboards/events/published virtual dimensions, and budget management limited to query/get with no create/update.

Resources