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Stoory Hire Specialist

Create task

create_task

Invites one or more chosen specialists to a project — does NOT charge payment. budget is a single amount for the whole task (not multiplied per specialist) — whoever accepts it does the work for it. Requires user_confirmed=true, set only after the user has explicitly confirmed in the conversation the choice of specialists, the list of shared files and the estimated cost. Estimate budget yourself from the problem's complexity (e.g. 1h = a single well-localized bug / a simple document fix / a minor graphic tweak; 2h = a standard debug across a few files / a draft legal document (e.g. Privacy Policy) / a landing page design; 3h = an architecture review, a full legal package (ToS+Privacy+GDPR) or a compliance audit, full branding, no clear diagnosis) times the specialist's min_rate_per_hour (from search_specialists) — this field is informational, not enforced, always in USD (the only currency on the marketplace).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
budgetYes
languageYesThe task's language — must match the language the user phrased title/description in (there is no auto-detection, set it according to the user's input).
timelineNoHow urgent the project is from the client's perspective — ask the user directly, do not guess.No rush
descriptionYes
context_filesNoThe minimal set of files the specialist needs. Each entry is { name, url?, content_base64? } and must carry exactly one source. `url` is strongly preferred: pass a link if the user gave one (Google Drive / Dropbox / S3 / raw GitHub) — the server rewrites common Google Drive and Dropbox share links to their direct-download form, and rejects a URL that returns a web page instead of a file — or, if you have a way to upload the file yourself (e.g. a code execution / shell environment) — upload it to any URL-reachable location first and pass that link instead of the raw bytes; the server just downloads it, which is fast and costs you almost no extra tokens. Use `content_base64` only as a last resort, when there is no URL and you have no way to produce one yourself (e.g. a small file the user attached directly in a chat-only client with no upload capability of its own) — inlining bytes means writing out the entire file as text, which is slow and burns far more tokens than a URL for anything beyond a tiny file. Before falling back to it, tell the user that creating the task will take noticeably longer and use more tokens because of it. Raw base64 only, never a `data:...;base64,` prefix. This server runs remotely and cannot read the caller's disk, so never pass local paths. The server scans every file for secrets, then uploads the rest to the task's file storage on Stoory; contents never enter the model context. Max 5MB per file. Entries that are unreadable or filtered as secrets come back in blocked_files — the task is still created without them.
specialist_idsYesId of one or more specialists to invite.
user_confirmedYesMust be true — set it only after the user's explicit confirmation in the conversation.
problem_contextYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / context_files / description
      Previous value: -"The minimal set of files the specialist needs. Each entry is { name, url?, content_base64? } and must carry exactly one source. `url` is strongly preferred: pass a link if the user gave one (Google Drive / Dropbox / S3 / raw GitHub), or — if you have a way to upload the file yourself (e.g. a code execution / shell environment) — upload it to any URL-reachable location first and pass that link instead of the raw bytes; the server just downloads it, which is fast and costs you almost no extra tokens. Use `content_base64` only as a last resort, when there is no URL and you have no way to produce one yourself (e.g. a small file the user attached directly in a chat-only client with no upload capability of its own) — inlining bytes means writing out the entire file as text, which is slow and burns far more tokens than a URL for anything beyond a tiny file. Before falling back to it, tell the user that creating the task will take noticeably longer and use more tokens because of it. Raw base64 only, never a `data:...;base64,` prefix. This server runs remotely and cannot read the caller's disk, so never pass local paths. The server scans every file for secrets, then uploads the rest to the task's file storage on Stoory; contents never enter the model context. Max 5MB per file. Entries that are unreadable or filtered as secrets come back in blocked_files — the task is still created without them."New value: +"The minimal set of files the specialist needs. Each entry is { name, url?, content_base64? } and must carry exactly one source. `url` is strongly preferred: pass a link if the user gave one (Google Drive / Dropbox / S3 / raw GitHub) — the server rewrites common Google Drive and Dropbox share links to their direct-download form, and rejects a URL that returns a web page instead of a file — or, if you have a way to upload the file yourself (e.g. a code execution / shell environment) — upload it to any URL-reachable location first and pass that link instead of the raw bytes; the server just downloads it, which is fast and costs you almost no extra tokens. Use `content_base64` only as a last resort, when there is no URL and you have no way to produce one yourself (e.g. a small file the user attached directly in a chat-only client with no upload capability of its own) — inlining bytes means writing out the entire file as text, which is slow and burns far more tokens than a URL for anything beyond a tiny file. Before falling back to it, tell the user that creating the task will take noticeably longer and use more tokens because of it. Raw base64 only, never a `data:...;base64,` prefix. This server runs remotely and cannot read the caller's disk, so never pass local paths. The server scans every file for secrets, then uploads the rest to the task's file storage on Stoory; contents never enter the model context. Max 5MB per file. Entries that are unreadable or filtered as secrets come back in blocked_files — the task is still created without them."
  2. Changed1 schema field changed
    • changedInput schema / properties / context_files / description
      Previous value: -"The minimal set of files the specialist needs. Each entry is { name, url?, content_base64? } and must carry exactly one source. `url` is strongly preferred: pass a link if the user gave one (Google Drive / Dropbox / S3 / raw GitHub), or — if you have a way to upload the file yourself (e.g. a code execution / shell environment) — upload it to any URL-reachable location first and pass that link instead of the raw bytes; the server just downloads it, which is fast and costs you almost no extra tokens. Use `content_base64` only as a last resort, when there is no URL and you have no way to produce one yourself (e.g. a small file the user attached directly in a chat-only client with no upload capability of its own) — inlining bytes means writing out the entire file as text, which is slow and burns far more tokens than a URL for anything beyond a tiny file. Before falling back to it, tell the user that creating the task will take noticeably longer and use more tokens because of it. Raw base64 only, never a `data:...;base64,` prefix. This server runs remotely and cannot read the caller's disk, so never pass local paths. For a large binary with no URL and no way to upload it yourself, don't inline it — tell the user to add it to the task repo manually instead. The server scans every file for secrets and pushes the rest to a private GitHub repo created for this task; contents never enter the model context. Never the whole repo, max 1 file = ~900KB. A non-empty list always gets a repo, even if every entry ends up in blocked_files (unreadable or filtered) — so the 'add it manually' fallback always has a real repo_url to point to. The GitHub username used to invite the client into the task repo comes from their Stoory account, not from you — you never see or pass it. If create_task fails because it's missing or invalid, tell the user to check/set their GitHub username in their Stoory account settings, then retry create_task."New value: +"The minimal set of files the specialist needs. Each entry is { name, url?, content_base64? } and must carry exactly one source. `url` is strongly preferred: pass a link if the user gave one (Google Drive / Dropbox / S3 / raw GitHub), or — if you have a way to upload the file yourself (e.g. a code execution / shell environment) — upload it to any URL-reachable location first and pass that link instead of the raw bytes; the server just downloads it, which is fast and costs you almost no extra tokens. Use `content_base64` only as a last resort, when there is no URL and you have no way to produce one yourself (e.g. a small file the user attached directly in a chat-only client with no upload capability of its own) — inlining bytes means writing out the entire file as text, which is slow and burns far more tokens than a URL for anything beyond a tiny file. Before falling back to it, tell the user that creating the task will take noticeably longer and use more tokens because of it. Raw base64 only, never a `data:...;base64,` prefix. This server runs remotely and cannot read the caller's disk, so never pass local paths. The server scans every file for secrets, then uploads the rest to the task's file storage on Stoory; contents never enter the model context. Max 5MB per file. Entries that are unreadable or filtered as secrets come back in blocked_files — the task is still created without them."
  3. Changed1 schema field changed
    • changedInput schema / properties / context_files / description
      Previous value: -"The minimal set of files the specialist needs. This server runs remotely and cannot read the caller's disk, so do NOT pass local paths. Each entry is { name, url?, content_base64? } and must carry exactly one source: `url` (the server downloads it — prefer this when the user gave a link, e.g. Google Drive / Dropbox / S3 / raw GitHub) or `content_base64` (inline bytes, for small local or chat-uploaded files; raw base64 only, no `data:...;base64,` prefix). For a large binary with no URL (e.g. an image), do not inline it — tell the user to add it to the task repo manually. The server scans every file for secrets and pushes the rest to a private GitHub repo created for this task; contents never enter the model context. Never the whole repo, max 1 file = ~900KB. A non-empty list always gets a repo, even if every entry ends up in blocked_files (unreadable or filtered) — so the 'add it manually' fallback always has a real repo_url to point to. The user must have github_username set — if create_task reports it missing, ask the user for their GitHub login and try again."New value: +"The minimal set of files the specialist needs. Each entry is { name, url?, content_base64? } and must carry exactly one source. `url` is strongly preferred: pass a link if the user gave one (Google Drive / Dropbox / S3 / raw GitHub), or — if you have a way to upload the file yourself (e.g. a code execution / shell environment) — upload it to any URL-reachable location first and pass that link instead of the raw bytes; the server just downloads it, which is fast and costs you almost no extra tokens. Use `content_base64` only as a last resort, when there is no URL and you have no way to produce one yourself (e.g. a small file the user attached directly in a chat-only client with no upload capability of its own) — inlining bytes means writing out the entire file as text, which is slow and burns far more tokens than a URL for anything beyond a tiny file. Before falling back to it, tell the user that creating the task will take noticeably longer and use more tokens because of it. Raw base64 only, never a `data:...;base64,` prefix. This server runs remotely and cannot read the caller's disk, so never pass local paths. For a large binary with no URL and no way to upload it yourself, don't inline it — tell the user to add it to the task repo manually instead. The server scans every file for secrets and pushes the rest to a private GitHub repo created for this task; contents never enter the model context. Never the whole repo, max 1 file = ~900KB. A non-empty list always gets a repo, even if every entry ends up in blocked_files (unreadable or filtered) — so the 'add it manually' fallback always has a real repo_url to point to. The GitHub username used to invite the client into the task repo comes from their Stoory account, not from you — you never see or pass it. If create_task fails because it's missing or invalid, tell the user to check/set their GitHub username in their Stoory account settings, then retry create_task."
  4. Changed1 schema field changed
    • changedInput schema / properties / context_files / description
      Previous value: -"The minimal set of files the specialist needs. This server runs remotely and cannot read the caller's disk, so do NOT pass local paths. Each entry is { name, url?, content_base64? } and must carry exactly one source: `url` (the server downloads it — prefer this when the user gave a link, e.g. Google Drive / Dropbox / S3 / raw GitHub) or `content_base64` (inline bytes, for small local or chat-uploaded files; raw base64 only, no `data:...;base64,` prefix). For a large binary with no URL (e.g. an image), do not inline it — tell the user to add it to the task repo manually. The server scans every file for secrets and pushes the rest to a private GitHub repo created for this task; contents never enter the model context. Never the whole repo, max 1 file = ~900KB. With a non-empty list the user must have github_username set — if create_task reports it missing, ask the user for their GitHub login and try again."New value: +"The minimal set of files the specialist needs. This server runs remotely and cannot read the caller's disk, so do NOT pass local paths. Each entry is { name, url?, content_base64? } and must carry exactly one source: `url` (the server downloads it — prefer this when the user gave a link, e.g. Google Drive / Dropbox / S3 / raw GitHub) or `content_base64` (inline bytes, for small local or chat-uploaded files; raw base64 only, no `data:...;base64,` prefix). For a large binary with no URL (e.g. an image), do not inline it — tell the user to add it to the task repo manually. The server scans every file for secrets and pushes the rest to a private GitHub repo created for this task; contents never enter the model context. Never the whole repo, max 1 file = ~900KB. A non-empty list always gets a repo, even if every entry ends up in blocked_files (unreadable or filtered) — so the 'add it manually' fallback always has a real repo_url to point to. The user must have github_username set — if create_task reports it missing, ask the user for their GitHub login and try again."
  5. Changed1 schema field changed
    • changedInput schema / properties / context_files / description
      Previous value: -"The minimal set of files the specialist needs. This server runs remotely and cannot read the caller's disk, so do NOT pass local paths. Each entry is { name, url?, content_base64? } and must carry exactly one source: `url` (the server downloads it — prefer this when the user gave a link, e.g. Google Drive / Dropbox / S3 / raw GitHub) or `content_base64` (inline bytes, for small local or chat-uploaded files). For a large binary with no URL (e.g. an image), do not inline it — tell the user to add it to the task repo manually. The server scans every file for secrets and pushes the rest to a private GitHub repo created for this task; contents never enter the model context. Never the whole repo, max 1 file = ~900KB. With a non-empty list the user must have github_username set — if create_task reports it missing, ask the user for their GitHub login and try again."New value: +"The minimal set of files the specialist needs. This server runs remotely and cannot read the caller's disk, so do NOT pass local paths. Each entry is { name, url?, content_base64? } and must carry exactly one source: `url` (the server downloads it — prefer this when the user gave a link, e.g. Google Drive / Dropbox / S3 / raw GitHub) or `content_base64` (inline bytes, for small local or chat-uploaded files; raw base64 only, no `data:...;base64,` prefix). For a large binary with no URL (e.g. an image), do not inline it — tell the user to add it to the task repo manually. The server scans every file for secrets and pushes the rest to a private GitHub repo created for this task; contents never enter the model context. Never the whole repo, max 1 file = ~900KB. With a non-empty list the user must have github_username set — if create_task reports it missing, ask the user for their GitHub login and try again."
  6. Changed10 schema fields changed
    • changedInput schema / properties / context_files / description
      Previous value: -"Minimalny zestaw plików potrzebny specjaliście — tylko ścieżki lokalne, NIE wklejaj treści plików. Serwer sam czyta plik z dysku i wrzuca go do prywatnego repo GitHub utworzonego dla tego taska — treść nigdy nie trafia do kontekstu modelu. Nigdy całe repo, max 1 plik = ~900KB. Przy niepustej liście user musi mieć ustawiony github_username — jeśli create_task to zgłosi, dopytaj usera o jego login GitHub i spróbuj ponownie."New value: +"The minimal set of files the specialist needs. This server runs remotely and cannot read the caller's disk, so do NOT pass local paths. Each entry is { name, url?, content_base64? } and must carry exactly one source: `url` (the server downloads it — prefer this when the user gave a link, e.g. Google Drive / Dropbox / S3 / raw GitHub) or `content_base64` (inline bytes, for small local or chat-uploaded files). For a large binary with no URL (e.g. an image), do not inline it — tell the user to add it to the task repo manually. The server scans every file for secrets and pushes the rest to a private GitHub repo created for this task; contents never enter the model context. Never the whole repo, max 1 file = ~900KB. With a non-empty list the user must have github_username set — if create_task reports it missing, ask the user for their GitHub login and try again."
    • addedInput schema / properties / context_files / items / properties / content_base64
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / context_files / items / properties / name
      Added value: +{
      +  "type": "string"
      +}
    • removedInput schema / properties / context_files / items / properties / path
      Removed value: -{
      -  "type": "string"
      -}
    • addedInput schema / properties / context_files / items / properties / url
      Added value: +{
      +  "format": "uri",
      +  "type": "string"
      +}
    • changedInput schema / properties / context_files / items / required
      Previous value: -[
      -  "path"
      -]New value: +[
      +  "name"
      +]
    • changedInput schema / properties / language / description
      Previous value: -"Język taska — musi odpowiadać językowi, w jakim user sformułował title/description (nie ma automatycznego wykrywania, ustaw zgodnie z danymi usera)."New value: +"The task's language — must match the language the user phrased title/description in (there is no auto-detection, set it according to the user's input)."
    • changedInput schema / properties / specialist_ids / description
      Previous value: -"Id jednego lub kilku specjalistów do zaproszenia."New value: +"Id of one or more specialists to invite."
    • changedInput schema / properties / timeline / description
      Previous value: -"Jak pilny jest projekt z perspektywy klienta — pytaj usera wprost, nie zgaduj."New value: +"How urgent the project is from the client's perspective — ask the user directly, do not guess."
    • changedInput schema / properties / user_confirmed / description
      Previous value: -"Musi być true — ustaw wyłącznie po jawnym potwierdzeniu przez usera w rozmowie"New value: +"Must be true — set it only after the user's explicit confirmation in the conversation."
  7. First observed

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations provided, the description fully discloses side effects and behaviors: it does not charge, budget is informational, files are scanned for secrets, blocked_files are excluded without failing the task, and contents never enter model context. This is highly transparent.

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 long but dense, with every sentence carrying a distinct rule or fact. It is well-structured but could benefit from more skimmable formatting (e.g., bullet points) given the volume of information.

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?

Even without an output schema, the description explains the return behavior for blocked_files and the overall task creation outcome. It also covers edge cases like URL rewriting, base64 pitfalls, and local path restrictions, making it contextually complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 56%, but the description adds crucial semantics for budget (single amount, USD, complexity-based estimation), language (must match user phrasing), context_files (URL preferred, base64 fallback, 5MB limit), specialist_ids, and user_confirmed. This covers all undocumented parameters comprehensively.

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 exactly what the tool does (invites specialists to a project) and clearly distinguishes it from siblings like search_specialists, cancel_task, get_task_status, and get_task_result. The non-charge and budget clarifications further disambiguate its purpose.

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?

Provides explicit prerequisites (user_confirmed=true only after user confirmation), a concrete budget estimation heuristic, and detailed file-handling instructions. This tells the agent precisely when and how to invoke it, filling all usage gaps.

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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