Skip to main content
Glama

StudioSphere Pulse — Audio Intelligence

analyze_track

Run audio analysis on a public audio URL. Requires estimate_cost to be called first (job_estimate_id). Requires PULSE_API_KEY. Before calling, you MUST confirm with the user that they have a lawful basis to submit this audio for analysis. For a user-requested folder, project, playlist, or batch, one confirmation can cover every track in that scope. Returns job_id — poll get_job_status for results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolsYesAnalysis tools to run. Available in v1.0: bpm, key, waveform. Coming soon: structure, chords.
audio_urlYesPublic URL of the audio file.
job_estimate_idYesThe job_estimate_id returned by estimate_cost. Must not be expired (30 min TTL).
attestation_confirmedYesSet to true ONLY after the user has confirmed they have rights, permission, lawful access, or another legal basis to submit this audio, or the current user-requested batch/folder/project containing it, for analysis.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNoTrue when analysis was accepted.
errorNoMachine-readable error code.
job_idNoPulse analysis job id.
statusNoCurrent job status.
detailsNoAdditional structured context from Pulse.
messageNoHuman-readable recovery guidance.
poll_urlNoRelative status polling URL.
retryableNoWhether the caller may retry after changing state or waiting.
cache_hitsNoTools served from cache.
stream_urlNoRelative SSE status URL.
account_typeNoAccount type used for the request.
upgrade_pathNo
conversion_noteNo
tokens_estimatedNoEstimated token charge.
cost_usd_estimatedNoEstimated USD value.

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, idempotentHint=false), the description adds significant behavioral context: requires PULSE_API_KEY, requires prior estimate, must confirm lawful basis, and returns a job_id for async polling. It also clarifies that one batch confirmation covers multiple tracks, which is critical for proper use. No contradiction with annotations.

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?

Five sentences, each carrying essential information: main action, prerequisite, API key requirement, user confirmation obligation, and return/poll behavior. No fluff or redundancy.

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?

For a tool with an output schema (returns job_id) and this complexity, the description covers the full workflow: prerequisites, legal compliance, return behavior, and the async polling pattern. It does not need to explain return values in detail because the output schema exists.

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 100%, so baseline is 3. The description adds meaning by explaining the workflow dependency (job_estimate_id comes from estimate_cost), reinforces the 'public' nature of audio_url, and clarifies the legal confirmation requirement for attestation_confirmed. This goes beyond the schema's per-parameter descriptions.

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 clear verb+resource: 'Run audio analysis on a public audio URL.' It distinguishes itself from siblings by explicitly linking to estimate_cost (prerequisite) and get_job_status (result retrieval), making it unambiguous which step in the workflow this tool represents.

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 clearly states the prerequisite (estimate_cost must be called first) and the follow-up (poll get_job_status). It also provides guidance on batch confirmation. However, it does not explicitly state when not to use this tool (e.g., for cost estimation or status polling), though the workflow context makes this implicitly clear.

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

A4.5/5.0
Disambiguation5/5

Each tool has a clearly distinct role: cost estimation, analysis initiation, status polling, token balance, token pack listing/purchasing, payment linking, and trial creation. Even the two analysis-triggering tools (analyze_track and request_payment_link) are cleanly separated by account vs. non-account workflows.

Naming Consistency5/5

All eight tools follow a consistent snake_case verb_noun pattern (e.g., estimate_cost, list_token_packs, start_trial). The verbs are specific and predictable, and there are no mixed conventions or vague names.

Tool Count5/5

Eight tools strike a good balance for this domain: three cover the analysis pipeline (estimate, analyze, poll) and five cover billing/tokens/trial. Every tool serves a distinct purpose with no redundancy or bloat.

Completeness4/5

The set covers the full analysis workflow (cost estimation, submission, status polling) and token management (balance, packs, purchase, trial, payment link). A minor gap is the lack of job cancellation or historical job listing, but core user tasks are fully supported.