SwishrJobs

Data migration readiness pack

submit_data_migration_readiness_pack

Idempotent

Profile a source extract against a target schema: per-column type and null profile, unmapped columns, absent target fields, and a go/no-go readiness verdict. Before a data migration or a bulk load, to find the blockers and the weak columns. Do not choose this when you need the data transformed or loaded, which needs the systems. Example requests: Is this data ready for migration to my target schema? | Profile this extract and tell me what blocks the migration. | Which columns are unmapped or mostly empty before a data migration? | Run a data migration readiness check on this CSV and target schema.

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": {
      "inputs": "<inputs>",
      "authorized_by": "<authorized_by>"
    },
    "name": "submit_data_migration_readiness_pack"
  }
}

Input Schema

Name	Required	Description
`inputs`	Yes
`quote_id`	No	The quote_id returned by POST /v1/jobs. Required to authorize a priced capability; the service rejects a priced job that does not name the quote it issued.
`authorized_by`	Yes	Identifier of the human or agent authorizing this job.
`accepted_price`	No	The amount accepted, exactly as quoted (for example "5.00" or 5). Checked against the stored quote, so a price that moved between quote and authorize is refused rather than silently absorbed. Optional, but sent to make the acceptance explicit.

Output Schema

Name	Required	Description
`quote`	No
`state`	Yes
`job_id`	Yes
`artifacts`	No
`access_token`	No	Per-job credential. Present it as the X-Job-Token header to read the job or list it. Keep it; it is the only credential for this job.
`verification`	No	Independent verification. verification.ok = false means the job failed, not a partial success.
`capability_id`	No

Schema Changelog

Changes observed during successful MCP inspections.

AddedNov 4, 2026

TDQS

A3.9/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=true and openWorldHint=false, so the safety profile is carried structurally. The description adds what the analysis reports, but says nothing about the job/quote authorization flow or that a priced quote is required, which is material behaviour for a submit_* capability. It does not contradict the annotations.

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?

Purpose and outputs are front-loaded, then the when-to-use and when-not-to-use clauses follow in a logical order. The four example requests are useful disambiguation but make the definition longer than strictly necessary for a tool whose schema is already detailed.

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?

An output schema exists, so return-value explanation is correctly omitted, and the nested input object is self-documenting. The only real gap is the authorization/pricing context (quote_id, authorized_by, accepted_price), though the schema descriptions already cover those fields.

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

Parameters3/5

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

Schema description coverage is 75% and the nested inputs object documents source_csv and target_schema fully, including formats and size limits. The description adds no parameter-level meaning beyond 'source extract' and 'target schema', so the baseline 3 for high coverage applies.

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 names a specific verb and resource plus the exact outputs: per-column type and null profile, unmapped columns, absent target fields, and a go/no-go verdict. That output enumeration distinguishes it from near-neighbours like submit_csv_column_profile (profiling only) and submit_field_mapping (mapping only).

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?

It gives a clear trigger ('Before a data migration or a bulk load, to find the blockers and the weak columns') and an explicit exclusion ('Do not choose this when you need the data transformed or loaded'). It stops short of naming the specific sibling to use instead for transformation/loading, leaving the agent to infer it from the sibling list.

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

All SwishrJobs tools Inspect

Try in Browser

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources

Need Help?