Skip to main content
Glama
katekruger

campaign-preflight-mcp

by katekruger

Campaign Preflight

Campaign Preflight is a read-only linter for outbound campaigns. It catches configuration, contact-data, personalization, suppression, schedule, and sender problems before launch.

CI Security Python 3.9+ Dependencies: none License: MIT


What it does

Every outbound team has shipped a campaign with a mistake in it. Someone who unsubscribed got emailed anyway. A sequence kept following up after the prospect replied. A merge field never merged and two hundred people got "Hi {{first_name}}."

You find out after it sends.

Campaign Preflight runs 76 deterministic checks over a campaign's configuration, leads, copy, schedule, senders, and suppression exposure, and returns a readiness decision with evidence for every finding. It never writes to your provider and it cannot activate anything.

What it does not do, up front rather than buried:

  • It does not guarantee deliverability. It checks configuration and data, not inbox placement, and never invents a deliverability score.

  • It does not give legal advice. Region, domain, and opt-out checks compare a campaign against your own configured policy — not GDPR, CAN-SPAM, or CASL.

  • It does not verify mailboxes. Address checks are syntax only. No DNS, no SMTP.

  • It does not replace your provider's safeguards. Keep those on.

  • Results are a point-in-time snapshot. A campaign that passed at 09:00 can be edited at 09:05.

Fuller detail in docs/limitations.md.


Related MCP server: Newsletter Tools

"We checked and it's fine" ≠ "we couldn't check"

A checker that cannot tell those apart is worse than no checker, because it turns a permissions error into a green light.

Campaign Preflight makes the distinction structural. Every provider read returns data plus the reason it does or does not exist, and every rule declares the data it needs. If that data is unavailable, the engine short-circuits the rule to UNKNOWN before it can run. Rules cannot opt out.

Situation

Result

Suppression list read, nobody matched

PASS

No suppression list supplied

UNKNOWN → run is INCOMPLETE

Suppression endpoint returned 403

UNKNOWN → run is INCOMPLETE

Zero leads in the campaign

FAIL

Lead endpoint unreachable

UNKNOWN

There are four verdicts, not two: READY, READY_WITH_WARNINGS, NOT_READY, and INCOMPLETE.


Requirements

Python 3.9 or newer. That is the whole list.

The package has no runtime dependencies — it imports nothing outside the standard library. httpx is an optional extra needed only for the live Instantly provider, behind a lazy import.

The 3.9 floor is deliberate, and deliberately lower than you might expect. It is the oldest interpreter the plugin can encounter on a user's machine, and since there are no dependencies, nothing forces it higher. CI runs 3.9 through 3.13 plus a bare-interpreter job that installs nothing at all, on Linux, macOS, and Windows.

That combination is what lets the plugin run with no install step: it uses whatever python3 is already there.


Install

As a Claude plugin (marketplace)

/plugin marketplace add katekruger/campaign-preflight
/plugin install campaign-preflight

The repository is its own marketplace: .claude-plugin/marketplace.json sits at the root alongside the plugin manifest.

As a Claude plugin (local checkout)

git clone https://github.com/katekruger/campaign-preflight
/plugin marketplace add ./campaign-preflight
/plugin install campaign-preflight

As a CLI

Straight from a checkout, with nothing installed at all:

PYTHONPATH=src python3 -m campaign_preflight.cli demo

Not yet published to PyPI — this is the only CLI install path today.

As an MCP server

claude mcp add campaign-preflight -- campaign-preflight-mcp

Six read-only tools. Nothing that could activate, edit, import, or send. Setup for Claude Code and Claude Desktop: docs/mcp.md.


Quick start

campaign-preflight demo

No API key. No network. No configuration.

CAMPAIGN PREFLIGHT
Campaign: Enterprise Q3 Outbound
Provider: demo
Readiness: NOT READY
Score: 0/100
Confidence: MEDIUM

BLOCKERS

[campaign.stop_on_reply]
Stop-on-reply is disabled: repliers will keep receiving follow-ups.
  Remediation: Enable stop-on-reply on the campaign.

[personalization.prompt_injection]
1 contact(s) have prompt-injection text in their personalization.
  Affected: s***********a@caldera.example.com
  Remediation: Remove the affected personalization and review the enrichment source it came from.

[suppression.contact_listed]
1 contact(s) appear on the active suppression list.
  Affected: m**********s@stonebridge.example.com
  Remediation: Remove these contacts from the campaign before activation.

WARNINGS

[contacts.missing_first_name]
2 of 20 contacts (10.0%) are missing a first name.
  Affected: i**o@summitforge.example.com, r******s@clearwater.example.com
  Remediation: Backfill the missing first names, or use a fallback in your copy.

UNKNOWN

[senders.aggregate_capacity]
Sender capacity is unavailable: 1 of 3 senders report no daily limit.
  Affected: r***n@example.com

------------------------------------------------------------------------------
Summary:
8 blockers, 17 failures, 21 warnings, 1 unknown, 32 passed
20 leads and 3 sender(s) checked in 0.0s
Confidence is MEDIUM: 1 check(s) could not run.
Point-in-time snapshot. Campaign state may change after this check ran.

Note the last finding. One sender reports no daily limit, so total capacity cannot be summed. Most tools would add up the senders that do report one and call it a number. This one says it does not know — and drops confidence from HIGH to MEDIUM because of it.

That distinction is the whole idea.

Checking your own campaign

Once the plugin is installed, describe it in plain language:

Check this campaign before I send it.

Here's my lead list — anything wrong with it? (paste or upload)

I'm sending a 3-email sequence to 200 people, 80 a day, weekdays 9-5 Eastern. Is that okay?

There are three ways in, and none needs an account:

You have

What happens

A file (uploaded, or on disk)

Checked directly.

A pasted list or some copy

Written to a scratch file, checked, then cleaned up.

Only a description

The campaign file is built from what you say, shown to you, then checked.

Anything you do not know is left blank rather than guessed — a blank field comes back as "couldn't check", which is the honest answer.

From files, on the command line

campaign-preflight check \
  --campaign examples/clean_campaign/campaign.yaml \
  --leads examples/clean_campaign/leads.csv \
  --suppressions examples/clean_campaign/suppressions.csv

Three worked examples ship with the repo, one per verdict:

Example

Verdict

Exit

examples/clean_campaign

READY, 100/100

0

examples/risky_campaign

NOT_READY, 13 blockers

2

examples/incomplete_campaign

INCOMPLETE — nothing is wrong, it just can't be verified

3

In CI

campaign-preflight check --campaign campaign.yaml --leads leads.csv --fail-on blocker

Exit codes carry the verdict, so this drops straight into a pipeline. See docs/ci.md.


What is inside

The repository root is the plugin. There is no second copy of the tree.

.claude-plugin/     plugin manifest and marketplace manifest
skills/             the three skills, one directory each
bin/                launchers the MCP server and CLI run through
src/                the Python package: rules, engine, providers, reporters
tests/              unit, integration, contract
docs/               rules catalogue, configuration, MCP, CI, limitations, architecture
examples/           three worked campaigns, one per verdict
scripts/            generators and the plugin packager

Skills

Skill

Use it for

preflight-campaign

Checking a real campaign you supply — a file, a paste, or a description.

preflight-demo

Watching the checker run against bundled sample data.

preflight-rules

Which rules exist, what each one tests, and how to retune or disable them.

The boundaries are deliberate: each description names its own situation and points at its neighbour, so a near-miss lands somewhere recoverable.


What it checks

76 rules across seven categories. Full catalogue: docs/rules.md.

Category

Rules

Examples

Campaign

10

Stop-on-reply disabled, daily volume above threshold, no sending window, dates that leave no sending days

Contacts

15

Malformed addresses, duplicates (exact and case-folded), role inboxes, placeholder values, control and bidi characters, spreadsheet formula injection

Suppression

8

Contacts and domains on your suppression list, existing customers, internal addresses, competitors, restricted regions — and whether the suppression check could run at all

Personalization

13

Unrendered merge tokens, a greeting addressed to the wrong person, a company that isn't theirs, claims unsupported by their own evidence, stale research, prompt-injection text scraped in from a target's page

Copy

13

Empty subject on the first step, broken links, TODO markers, missing opt-out language, a follow-up identical to the first email

Schedule

9

Invalid timezone, weekend sending, zero active days, a window that ends before it starts, DST transitions inside the campaign

Senders

8

Mailboxes below your health threshold, error states, volume exceeding capacity — and honest UNKNOWNs when the provider won't say

Ask the tool about any of them:

campaign-preflight rules list --category suppression
campaign-preflight rules explain senders.aggregate_capacity

What it deliberately does not check

There is no spam-word rule. "Free" and "act now" are not evidence of anything, and shipping that list would train you to ignore the tool. Rules that are judgement calls — copy length, link count, generation artifacts — are marked heuristic, labelled as such in every report, and are never blockers by default.


Configuration

Campaign Preflight runs with sensible defaults and no config file. Add one when your thresholds differ, or to switch on the checks that depend on your own domain and region lists.

version: 1

settings:
  target_timezone: America/New_York
  required_variables: [first_name, company_name]
  internal_domains: [ourcompany.example.com]
  customer_domains: [bigcustomer.example.com]
  allow_weekend_sending: false

rules:
  campaign.daily_volume:
    warning_above: 100
    blocker_above: 250
  senders.health_below_threshold:
    minimum_score: 80
  contacts.missing_job_title:
    enabled: false
campaign-preflight validate-config preflight.yaml
campaign-preflight check --campaign c.yaml --leads l.csv --config preflight.yaml

Validation is strict on purpose: an unknown rule id or an unknown option is a hard error, not a warning. A typo that silently disables a safety check is worse than no config at all.

Full reference: docs/configuration.md.


Why read-only matters

Campaign Preflight has no code path that writes. Not "we chose not to" — there is nothing to call.

  • The Instantly provider routes every request through a transport that checks (method, path) against an explicit allowlist and raises before the request leaves the process. The check sits below the client and below the provider, so a future code change that adds a PATCH fails loudly instead of quietly editing your campaign.

  • Two guards run at import time: the allowlist cannot contain PUT, PATCH, DELETE, HEAD, or OPTIONS, and POST is permitted for exactly one path (/leads/list, which is Instantly's documented shape for a filtered read).

  • The MCP server refuses to start if any registered tool has a mutating verb in its name or does not declare itself read-only.

  • tests/contract/test_instantly_transport.py exercises the full method × path matrix plus every documented mutating endpoint. A failure there is a security incident, not a test failure.

This is what makes it safe to hand an agent a live campaign. It gets the analysis and none of the authority.

What it will never do

  • Activate, pause, resume, or schedule a campaign

  • Create, update, move, merge, or delete a lead

  • Add to or remove from a suppression list

  • Send, reply to, or forward an email

  • Modify anything in your sending platform

There is no code path to any of these, and two independent guards — the transport allowlist and the MCP startup assertion — fail closed if one is ever added.


Exit codes

Code

Meaning

0

READY

1

READY_WITH_WARNINGS

2

NOT_READY

3

INCOMPLETE — a critical check could not run

4

Configuration or input error

5

Provider or authentication error

6

Unexpected internal error

--fail-on none|warning|high|blocker raises the bar at which a verdict becomes a nonzero exit. It never changes the verdict itself. INCOMPLETE is not silenced by a severity threshold — a check that could not run is a different problem from a low-severity finding.


Scoring is published, not hidden

score = 100 - sum(weight[status][severity] for every FAIL and WARN)

readiness:
  NOT_READY            any BLOCKER FAIL, or any HIGH FAIL
  INCOMPLETE           else if any critical rule is UNKNOWN
  READY_WITH_WARNINGS  else if any FAIL or WARN
  READY                otherwise

Four things follow from that, and each has a test:

  1. A blocker always produces NOT_READY. The number cannot override it.

  2. UNKNOWN deducts nothing. A provider outage must not look like a bad campaign — it lowers confidence instead.

  3. NOT_APPLICABLE affects nothing.

  4. Every deduction is itemized. --verbose prints the arithmetic so you can check it by hand.

Weights and the critical-rule list are configurable: docs/configuration.md.


Architecture

flowchart LR
    CLI[CLI] --> Engine
    MCP[MCP server] --> Engine
    Engine -->|gather| Provider{Provider}
    Provider --> CSV[CSV / files]
    Provider --> Instantly[Instantly v2]
    Instantly --> Guard[ReadOnlyTransport]
    Guard -->|allowlist| API[(Instantly API)]
    Provider -->|data + why| Context[Frozen context]
    Context --> Rules[76 rules]
    Rules --> Score[Scoring]
    Score --> Out[Terminal / JSON / Markdown]
    style Guard fill:#4a1f1f,stroke:#c04040,color:#fff

The context is a frozen dataclass, so "a rule never mutates its input" is enforced by the type system rather than by review. Provider-specific behaviour lives entirely behind the provider interface.

Full design and threat model: docs/architecture.md.


Privacy

  • Redacted by default. Mailbox local parts are masked (m**********s@stonebridge.example.com); domains are kept, because a domain is what makes a suppression finding actionable.

  • Secrets are scrubbed unconditionally. --no-redact disables PII masking, never credential masking. A provider that echoes your API key back in an error body cannot get it into a report — there is a test for exactly that.

  • Nothing leaves your machine by default. The optional LLM claim evaluator is off unless you configure it, and validate-config warns you when a config turns it on.

  • Report files are written 0600, to a temporary file and then renamed.

  • Samples are bounded. A 100,000-lead campaign cannot emit 100,000 lines.


Performance

Workload

Time

Demo (20 leads)

0.02 s

10,000 leads

0.28 s

100,000 leads

3.0 s, ~300 MB peak

Rows are streamed, not slurped. Pagination, retries, sender concurrency, and output size are all bounded.


Development

git clone https://github.com/katekruger/campaign-preflight
cd campaign-preflight
uv sync --all-extras
uv run pytest
uv run ruff format .                                  # format
uv run ruff check .                                   # lint
uv run mypy                                           # typecheck, strict
claude plugin validate . --strict                     # manifests
uv run python scripts/generate_rules_doc.py --check   # docs/rules.md is current
./scripts/bump-version.sh --check                     # version fields agree
uv run python scripts/build_plugin.py                 # dist/campaign-preflight.plugin

The package itself has no runtime dependencies; the dev group exists for the test suite, the linters, and two libraries used only as test oracles — httpx for the optional Instantly provider and PyYAML to differentially test the bundled YAML parser against.

Conventions that look like mistakes until you know why are written down in AGENTS.md.


Roadmap

  • Additional providers behind the same read-only interface (Smartlead, HubSpot Sequences, Apollo)

  • Domain reputation and DNS record checks (SPF, DKIM, DMARC alignment)

  • A GitHub Action wrapping the CLI with PR annotations

  • Baseline comparison: diff two reports and show what changed since the last run

  • Per-segment thresholds, so one config can cover several motions


Contributing

Rules are small, pure, and independently testable — a new one is usually a class, a docstring, and a handful of tests. See CONTRIBUTING.md and CODE_OF_CONDUCT.md.

Security

Report vulnerabilities privately: SECURITY.md. A rule that returned PASS when the data was missing counts as a security issue.

See also

Every project here shares one idea: a GTM system should refuse to act on data it cannot verify.

deliverability-guard — the runtime counterpart. This checks a campaign before it sends; that one watches reputation while it is sending and pauses before a domain burns.

instantly-mcp — the same risk-tiered safety model applied to writes rather than reads.

segment-mcp — a read-first MCP server for Twilio Segment. Same "checked and it's fine ≠ we couldn't check" philosophy: insufficient_data is its own state, never coerced to a pass.

License

MIT. See LICENSE.

Available Tools

6 tools
explain_preflight_ruleB
Read-onlyIdempotent

READ-ONLY. Explain one rule: what it checks, what data it needs, and its configurable options.

ParametersJSON Schema
NameRequiredDescriptionDefault
rule_idYese.g. campaign.daily_volume

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered by structured data. The description's 'READ-ONLY' prefix reinforces but does not add to this. It adds minimal behavioral context beyond confirming the rule-explanation output, and 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?

A single, front-loaded sentence with zero waste. The 'READ-ONLY' prefix overlaps with annotations but is harmless. Appropriately sized for a simple single-parameter tool.

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 low-complexity tool (1 parameter, no output schema, no nesting), the description is reasonably complete — it states what the returned explanation covers. It partially compensates for the missing output schema by describing the explanation's contents, though it doesn't address error behavior for an invalid rule_id. Adequate given the tool's simplicity.

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 coverage is 100% — rule_id is documented with an example ('campaign.daily_volume'). The description adds no parameter-level meaning beyond implying that rule_id selects the rule to explain, which the schema already conveys. Baseline 3 is appropriate since the schema carries the parameter burden.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Explain') and resource ('one rule'), and clarifies what the explanation covers (checks, data needs, configurable options). It implicitly distinguishes from siblings like list_preflight_rules and validate_preflight_config, though it does not name them explicitly. A clear, well-scoped purpose.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus its siblings. The description does not state that this should be used when detailed information about a single rule is needed as opposed to list_preflight_rules for enumeration or validate_preflight_config for config checking. No exclusions or alternative routing provided.

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

list_preflight_rulesA
Read-onlyIdempotent

READ-ONLY. List the preflight rule catalogue, optionally filtered by category: campaign, contacts, suppression, personalization, copy, schedule, or senders.

ParametersJSON Schema
NameRequiredDescriptionDefault
categoryNo

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description's opening 'READ-ONLY' merely reinforces that. It adds no deeper behavioral detail beyond the filter (which is more parameter-related). No mention of pagination, output format, or rate limits, but for a simple read-only list tool, the annotations carry the transparency burden sufficiently.

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?

A single sentence that front-loads the read-only nature and the core action ('List'), followed by the only parameter detail. Every word earns its place; there is no redundancy or filler. Ideal conciseness.

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 tool with one optional enum parameter, no output schema, and no nested objects, the description covers the purpose, the filter, and its optionality. It does not mention return format or relationships to sibling tools, but those are not critical for a simple listing operation. The description is sufficiently complete for an agent to call it 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 0% description coverage and only one optional enum parameter. The description explicitly lists all valid category values (campaign, contacts, suppression, personalization, copy, schedule, senders) and clarifies the parameter is optional ('optionally filtered'). This fully compensates for the schema's lack of descriptions, giving the agent complete knowledge of the parameter without opening the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('List') and resource ('preflight rule catalogue'), and mentions optional filtering. The purpose is clear and not a tautology. It does not explicitly distinguish from siblings like preflight_demo or preflight_files, but the name and description make the function obvious enough that an agent could differentiate it.

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

Usage Guidelines3/5

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

Gives context on the optional 'category' filter and lists valid categories, implying when filtering might be useful. However, it provides no explicit guidance on when to use this tool versus alternatives, nor any when-not-to-use statements. The presence of sibling tools like 'validate_preflight_config' suggests related actions, but no comparison is made.

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

preflight_demoA
Read-onlyIdempotent

READ-ONLY. Run the bundled synthetic demo campaign and return its readiness report. Uses synthetic data shipped with the package: no network calls and no credentials. Useful for showing what a report looks like.

ParametersJSON Schema
NameRequiredDescriptionDefault
max_samplesNoAffected records shown per finding.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the description's 'READ-ONLY' is redundant. However, it adds value by stating no network calls and no credentials, and that it uses synthetic data shipped with the package—behavioral details not present in annotations. No contradiction.

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 three short sentences, each earning its place: the first states the action and safety profile, the second gives key behavioral context, and the third explains practical utility. It is front-loaded with READ-ONLY and has no fluff.

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 simple demo tool with one optional parameter and no required inputs, the description fully covers what the agent needs: what it does, that it's safe (read-only, no network/credentials), and when it's useful (showing a report). No output schema exists, but the description doesn't need to detail report structure for a demo. Complete for its purpose.

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 100%—the parameter max_samples is described as 'Affected records shown per finding.' The tool description does not mention the parameter at all, but since the schema fully covers it, the baseline of 3 applies. No additional semantic value added 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 clearly states the tool runs a bundled synthetic demo campaign and returns a readiness report. The word 'demo' and 'synthetic' distinguish it from siblings like preflight_files or preflight_instantly_campaign, which likely operate on real data. This is a specific verb+resource with clear differentiation.

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 explicitly notes it's 'useful for showing what a report looks like,' providing a direct use case. It also hints at no network calls and no credentials, implying it's safe for testing. However, it doesn't explicitly state when to prefer this over siblings, so it lacks explicit exclusions or alternative comparisons.

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

preflight_filesA
Read-onlyIdempotent

READ-ONLY. Check a campaign described by local files and return its readiness report. Reads only the paths given here; no directory is scanned or walked. Optional inputs that are omitted are reported as unavailable capabilities, so a run without suppressions_path says the suppression checks did not run rather than implying the list is clean.

ParametersJSON Schema
NameRequiredDescriptionDefault
leads_pathYesAbsolute or relative path to an existing file.
config_pathNoAbsolute or relative path to an existing file.
max_samplesNoAffected records shown per finding.
senders_pathNoAbsolute or relative path to an existing file.
campaign_pathYesAbsolute or relative path to an existing file.
evidence_pathNoAbsolute or relative path to an existing file.
output_formatNoShape of the returned report.
suppressions_pathNoAbsolute or relative path to an existing file.

TDQS

A4.2/5.0
Behavior4/5

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

Beyond the readOnly and idempotent annotations, the description adds critical behavioral context: it explicitly states that no directory scanning occurs and that omitted optional inputs are reported as 'unavailable capabilities' rather than clean results. This clarifies how the tool handles missing parameters, which is a significant behavioral nuance beyond the annotations alone.

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 three sentences with no filler. The first sentence states purpose, the second clarifies input scope, and the third explains behavior on omission. It is front-loaded with the core action and each sentence earns its place by contributing distinct, necessary information.

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?

With 8 parameters, no output schema, and no explicit enumeration of the checks performed, the description provides sufficient context: it defines the tool's domain (local files), its safety profile, and handling of missing inputs. The output_format parameter handles return shape, and sibling tools list_preflight_rules/explain_preflight_rule can cover rule details. It is complete enough for an agent to use correctly, though slightly more detail on what 'readiness' entails would elevate it.

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 schema already provides descriptions for all 8 parameters (100% coverage), so the baseline is 3. The description adds meaning by explaining the collective effect of omitting optional parameters (e.g., suppressions_path yields 'suppression checks did not run'), which is a parameter-level semantic not present in the schema. This justifies a 4 over the baseline.

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 states a specific action ('Check a campaign described by local files and return its readiness report') with a clear resource (local files). It distinguishes itself from siblings by emphasizing 'local files' and the scoping rule 'Reads only the paths given here', which sets it apart from tools like preflight_demo or preflight_instantly_campaign that likely handle other sources.

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

Usage Guidelines3/5

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

The description implies usage for file-based campaigns and clarifies that only explicit paths are read, but it does not explicitly contrast with sibling tools or state when to choose this over preflight_instantly_campaign or preflight_demo. The guidance is implied rather than directive, so it misses the 'when/when-not' bar for a higher score.

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

preflight_instantly_campaignA
Read-onlyIdempotent

READ-ONLY. Inspect a live Instantly campaign and return its readiness report. Reads the campaign, its leads, its sending accounts, and the workspace block list. Every request is checked against a read-only allowlist before it leaves the process, so no write, activation, or lead-mutation call is reachable. The API key is read from the INSTANTLY_API_KEY environment variable and is never accepted as a tool argument.

ParametersJSON Schema
NameRequiredDescriptionDefault
lead_limitNo
campaign_idYesInstantly campaign UUID.
config_pathNoAbsolute or relative path to an existing file.
max_samplesNoAffected records shown per finding.

TDQS

A4.2/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, but the description adds valuable context: every request is checked against a read-only allowlist, and the API key is sourced from INSTANTLY_API_KEY rather than a tool argument. This discloses operational safeguards and security details beyond the annotations, enhancing the agent's understanding of constraints.

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 concise at three sentences, with purpose front-loaded ('READ-ONLY. Inspect...'). However, there is slight redundancy: 'READ-ONLY' is repeated in the allowlist explanation. Despite this, the structure is efficient and each sentence adds relevant information—purpose, scope, and security mechanism.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema, the description should explain what the readiness report contains, but it only says 'readiness report' without detailing its format or contents. It does mention the data sources (leads, accounts, block list) but not the report's structure. Given the absence of output schema, this is a notable gap. The description covers the operational context well (read-only, API key), but the return value remains underspecified.

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% (campaign_id, config_path, max_samples have descriptions; lead_limit has only min/max). The tool description does not elaborate on any parameter semantics. Per the rubric, with high schema coverage, a baseline of 3 is appropriate. The lack of compensation for the undocumented lead_limit is a minor gap, but overall the schema carries most of the parameter information.

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 clearly states the tool's action and target: 'Inspect a live Instantly campaign and return its readiness report.' This is a specific verb-resource combination and explicitly distinguishes it from sibling tools (preflight_demo, preflight_files, list_preflight_rules, etc.) by the 'live Instantly campaign' scope. The mention of reading leads, sending accounts, and block list further clarifies the exact domain.

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 explains the scenario (inspecting a live campaign) and the read-only nature, but does not explicitly compare with alternatives or state when not to use it. It provides clear context for when this tool is appropriate (live campaign inspection) without listing excluded cases or directing to other preflight tools.

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

validate_preflight_configA
Read-onlyIdempotent

READ-ONLY. Validate a rules configuration file without running any checks. Reports unknown rule ids, unknown options, and out-of-range values.

ParametersJSON Schema
NameRequiredDescriptionDefault
config_pathYesAbsolute or relative path to an existing file.

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already carry the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), and the leading 'READ-ONLY' merely restates readOnlyHint. The added value is the description of what validation reports (unknown rule ids, unknown options, out-of-range values), which is useful but modest. 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.

Conciseness4/5

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

Two tight sentences with no filler. The critical READ-ONLY safety flag is front-loaded, and the second sentence efficiently enumerates what the validation surfaces (unknown rule ids, options, out-of-range values). Slightly redundant with annotations but well-structured and brief.

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 simple one-parameter, read-only validation tool, this is nearly complete: purpose, scope, safety, and output dimensions are all covered. No output schema exists, but the description names the three classes of findings an agent can expect, which is sufficient for a config-validator of this simplicity.

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 coverage is 100%; the schema already documents config_path as an absolute or relative path to an existing file. The description adds only the contextual hint that the path points to a configuration file, which aligns with but does not materially extend the schema. Baseline 3 is appropriate.

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?

Describes a specific verb (validate) applied to a specific resource (rules configuration file). It distinguishes itself from sibling tools like preflight_demo, preflight_files, and preflight_instantly_campaign by explicitly stating it does not run checks, and from list_preflight_rules/explain_preflight_rule by focusing on config validation rather than rule discovery. An agent can pick it apart from siblings 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?

Provides a clear context: validate a configuration file before executing checks. The phrase 'without running any checks' implicitly marks off the preflight_* siblings that do execute campaigns, giving a when-not signal. It does not name alternatives explicitly or give exclusion conditions, so it falls short of a 5.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 6 tool updatesv0.1.0
    • First observedexplain_preflight_rule
    • First observedlist_preflight_rules
    • First observedpreflight_demo
    • First observedpreflight_files
    • First observedpreflight_instantly_campaign
    • First observedvalidate_preflight_config

TDQS

A3.9/5.0

Scored across 6 tools

Disambiguation5/5

Each tool serves a clearly distinct purpose: three preflight runners for different input sources (demo, files, live), two for rule management (list and explain), and one for config validation. There is no overlap in their operations, and the descriptions make it obvious which to select.

Naming Consistency4/5

Names use a consistent 'preflight_' prefix across all tools, but the pattern is not fully uniform: the first three are verbs implied by the domain (e.g., 'preflight_demo' runs a demo), while the last three explicitly start with verbs ('list_', 'explain_', 'validate_'). This is a minor deviation that agents can easily adapt to.

Tool Count5/5

With six tools, the server is well-scoped and avoids unnecessary bloat. Each tool covers a distinct aspect of the preflight workflow—execution sources, rule catalog, and configuration—so the count feels appropriately sized for the domain.

Completeness4/5

The surface covers the core lifecycle: running preflights on demo, files, or a live Instantly campaign; inspecting and understanding rules; and validating config files. A minor gap is the lack of a tool to run preflight on a manually specified set of parameters or a generic input, but the provided sources handle common use cases adequately.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Related MCP Connectors

Related MCP Servers

  • A
    license
    B
    quality
    F
    maintenance
    A Model Context Protocol server that provides read-only access to Mailchimp's Marketing API for comprehensive email marketing data retrieval.
    38
    186 npm
    11
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    A utility MCP server providing 10 specialized tools for newsletter content preparation and optimization, including subject line generation, HTML-to-text extraction, read time estimation, and email validation. Enables newsletter operators, developers, and content teams to automate pre-send workflows and audit newsletter issues through natural language interactions.
    -
  • A
    license
    A
    quality
    C
    maintenance
    A deterministic preflight checker for outbound SMS/iMessage that catches silent filtering, segment blowups, and dropped iMessage features before sending.
    1
    26 npm
    1
    MIT